Image processing module, method for brushing equipment and related product

Abstract

The invention discloses an image processing module, a method for brushing equipment and a related product. Wherein the image processing module comprises a single camera, which is configured to collect a grayscale image of palm prints or palm veins; and the image enhancement component is arranged relative to the position of the camera and is configured to adjust the exposure of the camera during image acquisition, so that at least a mixed grayscale image containing palm prints and palm veins at the same time is acquired. According to the technical scheme, the single camera is integrated in the image processing module, so that the overall size is effectively reduced, and palm prints and palm veins can be presented at the same time through the mixed gray level images. Therefore, not only is the thinking inertia of traditional palm print and palm vein image collection broken through, but also a new image processing thought is developed while the use requirement is met.

Description

Technical Field

[0001] The present disclosure generally relates to the field of image processing technology. More specifically, the present disclosure relates to an image processing module for a palm brushing device, a palm brushing device, a method for a palm brushing device, and a palm brushing device and a computer-readable storage medium for executing the aforementioned method. Background Art

[0002] With the development of technology, biometric technology has been widely used in many fields such as identity authentication, gates, access control, attendance, etc. Among them, palm print and palm vein recognition technology has won the favor of users with its relatively high accuracy and stability. However, traditional biometric devices usually need to integrate an RGB camera for collecting palm prints and an IR camera (i.e., infrared camera) for collecting palm veins in the device to obtain palm print images and palm vein images respectively. This design of stacking multiple cameras in the device and taking a single image has greatly increased the size, cost, energy consumption, etc. of the device. Summary of the invention

[0003] In order to at least solve one or more of the technical problems mentioned above, the present disclosure proposes in multiple aspects an image processing module that has a simple structure and is capable of capturing a mixed grayscale image containing both palm prints and palm veins.

[0004] In a first aspect of an embodiment of the present disclosure, an image processing module for a palm-swiping device is provided, comprising: a single camera configured to capture a grayscale image of a palm print or a palm vein; and an image enhancement component arranged relative to the position of the camera and configured to adjust the exposure of the camera when capturing an image so that at least a mixed grayscale image containing both the palm print and the palm vein is captured.

[0005] In some embodiments, the image enhancement component is specifically configured to adjust the exposure of the palm print and / or the palm vein in the image so that the camera captures the mixed grayscale image, the palm print grayscale image and / or the palm vein grayscale image.

[0006] In some embodiments, the image enhancement component includes: a filter, which is arranged in front of the camera and is configured to adjust the light transmission ratio of infrared light and visible light incident on the camera.

[0007] In some embodiments, wherein the filter is an adjustable filter, the image enhancement component further includes: a first adjustment unit configured to obtain quality information of the image captured by the camera, and adjust the transmittance ratio of infrared light and visible light of the adjustable filter according to the quality information.

[0008] In some embodiments, the tunable filter includes an electrochromic glass configured to transmit both visible light and infrared light.

[0009] In some embodiments, the image enhancement component also includes: a fill light group, which is arranged relative to the position of the camera; and a second adjustment unit, which is configured to obtain quality information of the image captured by the camera and adjust the current of the fill light in the fill light group according to the quality information.

[0010] In some embodiments, wherein the fill light group includes an infrared fill light and a visible light fill light, the second adjustment unit is specifically configured to adjust a current ratio between the infrared fill light and the visible light fill light according to the quality information.

[0011] In a second aspect of the disclosed embodiment, a palm-brushing device is provided, further comprising: an image processing module according to the first aspect.

[0012] In a third aspect of the disclosed embodiment, a method for the palm-swiping device described in the first aspect is provided, comprising: obtaining application scenario requirements of the palm-swiping device; and adjusting the exposure of the palm prints and / or palm veins in the image captured by the camera through an image enhancement component in the palm-swiping device according to the application scenario requirements.

[0013] In some embodiments, obtaining the application scenario requirements of the palm-brushing device includes: obtaining natural light intensity information of the environment in which the palm-brushing device is located; and / or obtaining the working mode of the palm-brushing device; and determining the application scenario requirements based on the natural light intensity information and / or the working mode.

[0014] In some embodiments, wherein the palm-swiping device includes an adjustable filter, a visible light fill light, and an infrared fill light, adjusting the exposure of the palm prints and / or palm veins in the image captured by the camera includes: in response to the application scenario requirements, controlling the visible light fill light and / or the infrared fill light to switch on or off, and capturing a target image based on the camera, wherein the target image includes any one or more of a palm print grayscale image, a palm vein grayscale image, and a mixed grayscale image of palm prints and palm veins; detecting whether the image quality of the captured target image meets a predetermined condition; and in response to determining that the image quality of the target image does not meet the preset condition, adjusting the exposure of the palm prints and / or palm veins in the image based on regulating the adjustable filter and / or regulating the visible light fill light and the infrared fill light.

[0015] In some embodiments, the regulating of the tunable filter includes: regulating the ratio of the amount of infrared light to the amount of visible light in the tunable filter until the image quality of the target image meets the preset condition.

[0016] In some embodiments, the regulation of the visible light fill light and the infrared fill light includes: regulating the current ratio between the infrared fill light and the visible light fill light until the image quality of the target image meets the preset condition.

[0017] In a fourth aspect of the disclosed embodiment, a palm-brushing device is provided, further comprising: an image processing module as described in the first aspect; a processor; and a memory storing computer instructions for the palm-brushing device, wherein when the computer instructions are executed by the processor, the palm-brushing device executes the method described in the foregoing and following embodiments.

[0018] In a fifth aspect of the disclosed embodiments, a computer-readable storage medium is provided, comprising program instructions for a palm-swiping device, and when the program instructions are executed by a processor, the method described in the foregoing and following embodiments is implemented.

[0019] Through the image processing module for palm scanning devices provided above, the disclosed embodiment can integrate a single camera and an image enhancement component in the image processing module, and adjust the image acquisition environment of the camera based on the image enhancement component so that the camera can acquire a mixed grayscale image containing both palm prints and palm veins. It can be seen that the disclosed solution effectively reduces the overall volume by integrating a single camera in the image processing module, and can simultaneously present palm prints and palm veins through a mixed grayscale image. As a result, it not only breaks through the traditional thinking inertia of separately acquiring palm print and palm vein images, but also expands a new image processing idea while meeting the use requirements.

[0020] In addition, the present disclosure also proposes a method for a palm scanning device, which can adaptively adjust the exposure of palm prints and / or palm veins in an image in combination with the application scenario requirements of the palm scanning device, thereby improving the recognition accuracy of the palm scanning device in different environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] By reading the detailed description below with reference to the accompanying drawings, the above and other objects, features and advantages of the exemplary embodiments of the present disclosure will become readily understood. In the accompanying drawings, several embodiments of the present disclosure are shown in an exemplary and non-limiting manner, and the same or corresponding reference numerals represent the same or corresponding parts, wherein:

[0022] Figure 1A schematic diagram of the structure of an image processing module for a palm-swiping device according to an embodiment of the present disclosure is shown;

[0023] Figure 2 A schematic diagram of the structure of an image processing module for a palm-swiping device according to another embodiment of the present disclosure is shown;

[0024] Figure 3 A schematic diagram of the structure of an image processing module for a palm-swiping device according to another embodiment of the present disclosure is shown;

[0025] Figure 4 A schematic diagram of the structure of an image processing module for a palm-swiping device according to another embodiment of the present disclosure is shown;

[0026] Figure 5 A schematic diagram of the structure of a palm brushing device according to an embodiment of the present disclosure is shown;

[0027] Figure 6 A schematic flow chart of a method for a palm-swiping device according to an embodiment of the present disclosure is shown;

[0028] Figure 7 A schematic flow chart showing a method for a palm brushing device according to another embodiment of the present disclosure is shown;

[0029] Figure 8 A schematic flow chart of a method for a palm-brushing device according to yet another embodiment of the present disclosure is shown;

[0030] Fig. 9 A schematic flow chart showing a method for a palm-brushing device according to yet another embodiment of the present disclosure; and

[0031] Fig.10 A schematic structural diagram of a palm-brushing device according to another embodiment of the present disclosure is shown. DETAILED DESCRIPTION

[0032] The following will be combined with the drawings in the embodiments of the present disclosure to clearly and completely describe the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are part of the embodiments of the present disclosure, not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0033] It should be understood that the terms "include" and "comprising" used in the specification and claims of the present disclosure indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0034] It should also be understood that the terms used in this disclosure are only for the purpose of describing specific embodiments and are not intended to limit the disclosure. As used in this disclosure and claims, the singular forms of "a", "an", and "the" are intended to include the plural forms unless the context clearly indicates otherwise. It should also be further understood that the term "and / or" used in this disclosure and claims refers to any combination of one or more of the associated listed items and all possible combinations, including these combinations.

[0035] As used in this specification and claims, the term "if" may be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" may be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0036] Generally, devices that support palm print and palm vein recognition usually need to integrate RGB cameras and IR cameras in the device, and collect palm print images and palm vein images based on the RGB cameras and IR cameras respectively. This structural design will lead to a significant increase in the size, cost, and energy consumption of the device. In the related art, there are also cases where only one camera is set in the device. This device can collect palm print images and palm vein images in different time periods through one camera, but in essence, it still needs to collect palm print images and palm vein images separately.

[0037] In this regard, the inventor has found through research that due to the different positions of palm prints and palm veins, and the different exposure requirements of the camera when collecting palm prints and palm veins, the existing technology needs to collect palm print images and palm vein images separately. After further research, the inventor also found that in actual applications, although RGB images of palm prints are generally collected, palm print information is mainly presented through grayscale images, that is, the grayscale image of palm prints can meet the use requirements, and palm vein information is also mainly presented through grayscale images. Therefore, a single camera that can support grayscale image acquisition can be used, and by adjusting the exposure of the camera when collecting images, it can be able to collect a mixed grayscale image, so as to simultaneously present palm prints and palm veins based on the mixed grayscale image. As a result, there is no need for multiple cameras, nor is there a need to collect palm print images and palm vein images separately, which effectively reduces the size of the device.

[0038] The specific implementation of the present disclosure is described in detail below with reference to the accompanying drawings.

[0039] Figure 1The structure diagram of an image processing module 100 for a palm scanning device according to an embodiment of the present disclosure is shown. It should be noted that the palm scanning device in the present disclosure may include any device that has a palm print and / or palm vein image acquisition requirement.

[0040] like Figure 1 As shown, the image processing module 100 may include a single camera 101 and an image enhancement component 102 arranged relative to the camera 101 .

[0041] The camera 101 may be configured to collect grayscale images of palm prints or palm veins. It should be noted that the specific type of camera is not limited here, and any camera with the function of collecting grayscale images may be used.

[0042] As mentioned above, the location and exposure requirements of palm prints and palm veins are different. Among them, the palm prints are located on the surface of the palm, and when exposed in a visible light environment, images containing the palm prints can be collected. The palm veins are located under the skin of the palm, and when exposed in an infrared light environment, images containing the palm veins can be collected. Therefore, this embodiment adds an image enhancement component 102, and uses the image enhancement component 102 to adjust the exposure of the camera 101 when collecting images, so that the proportion of infrared light and / or visible light entering the camera 101 is moderate, so that the palm prints and / or palm veins can be presented in different degrees of exposure in the image. In particular, when an appropriate proportion of infrared light and visible light enter the camera, the camera can collect a mixed grayscale image that contains both palm prints and palm veins.

[0043] Compared with the traditional method of obtaining palm print and palm vein images by using multiple cameras + collecting images separately or in different time periods, this embodiment integrates a single camera in the image processing module, so that the overall volume is effectively reduced, and the palm print and palm vein can be simultaneously presented by mixing grayscale images. Therefore, it not only breaks through the traditional thinking inertia of collecting palm print and palm vein images separately, but also expands a new image processing idea while meeting the use needs.

[0044] Furthermore, in some embodiments, the image enhancement component 102 may be specifically configured to adjust the exposure of the palm print and / or palm vein in the image, so that the camera 101 can capture a mixed grayscale image, a palm print grayscale image, and / or a palm vein grayscale image. Through the cooperation between the camera 101 and the image enhancement component 102 in this embodiment, only the palm print can be exposed in the image to capture the palm print grayscale image. Only the palm vein can also be exposed in the image to capture the palm vein grayscale image, and only the palm print and palm vein can also be exposed in the image at the same time to capture the mixed grayscale image, so as to meet different image capture requirements.

[0045] Figure 2FIG. 2 shows a schematic diagram of the structure of an image processing module 200 for a palm-swiping device according to another embodiment of the present disclosure. It should be noted that: Figure 2 It can be understood that Figure 1 The further definition of the image processing module 100 functions, especially the further definition of the image enhancement component. Figure 1 The relevant description also applies to the following.

[0046] Specifically, Figure 2 As shown, the image processing module 200 may include a single camera 201 and an image processing module. Figure 1 Therefore, for details about camera 201, please refer to the previous description of camera 101, which will not be repeated here.

[0047] The image enhancement component in this embodiment may include a shading sheet 202. In one embodiment, the shading sheet 202 may be disposed in front of the camera 201, and configured to adjust the light transmittance ratio of the infrared light and the visible light entering the camera 201. In the scheme of the present application, the shading sheet may be a shading sheet that transmits both infrared light and visible light. In addition, the present application does not limit the specific type of filter, so the shading sheet may select a filter with a fixed light transmittance ratio or an adjustable filter, which may be set specifically according to application requirements. For example, when the light in the application environment is stable and the image acquisition requirements are fixed (for example, only a certain type of image is acquired), a filter with a fixed light transmittance ratio may be used.

[0048] When the application environment and image acquisition requirements are changeable, an adjustable filter can be used. For example, electrochromic glass with dual pass of visible light and infrared light or other adjustable shading sheets can be used. In this scenario, in addition to the aforementioned shading sheet 202, the image enhancement component also includes a first adjustment unit 203. The first adjustment unit 203 is configured to obtain quality information of the image collected by the camera 201, and can adjust the light transmittance ratio of the infrared light and the visible light of the adjustable filter according to the quality information. In some embodiments, when an image (such as a palm print grayscale image, a palm vein grayscale image, or a mixed grayscale image) is collected, the image quality can be evaluated to obtain quality information, and the light transmittance ratio of the infrared light and the visible light of the adjustable filter can be adjusted based on the quality information.

[0049] The specific quality evaluation method and the specific process of adjusting the transmittance ratio of infrared light and visible light of the adjustable filter are not limited here. In practical applications, image quality evaluation can be achieved in a variety of ways. For example, a quality evaluation score threshold can be set, and meeting the threshold means that the image quality requirements (such as recognition and / or biopsy image quality requirements, etc.) are met. Among them, the threshold can be set according to the image clarity, and can also be set according to any other reasonable evaluation parameters. The specific adjustment method of the transmittance ratio can be obtained through deep learning, or it can be obtained by any reasonable method such as table lookup, fuzzy control, etc.

[0050] Figure 3 FIG. 3 is a schematic diagram showing the structure of an image processing module 300 for a palm-swiping device according to another embodiment of the present disclosure. It should be noted that: Figure 3 It can be understood that Figure 1 The further definition of the image processing module 100 functions, especially the further definition of the image enhancement component. Figure 1 The relevant description also applies to the following.

[0051] Specifically, Figure 3 As shown, the image processing module 300 may include a single camera 301 and an image processing module. Figure 1 Therefore, for details about camera 301, please refer to the previous description of camera 101, which will not be repeated here.

[0052] The image enhancement component in this embodiment may include a fill light group 302 and a second adjustment unit 303 .

[0053] Among them, the fill light group 302 can be arranged relative to the position of the camera 301. The number of lights in the fill light group and the specific arrangement are not limited here, and can be set according to application requirements. In addition, the lights in the fill light group can be evenly distributed around the camera in any arrangement. In some embodiments, the fill light group 302 may include infrared fill light and visible light fill light, where the infrared fill light and the visible light fill light can be evenly distributed around the camera in any way. For example, a circle of visible light fill light and a circle of infrared light fill light are arranged in sequence from the camera to the outside, or only a circle of fill light is set, in which the visible light fill light and the infrared light fill light are arranged at intervals. Of course, if the visible light or infrared light in the application environment is sufficient, the fill light group may also only include infrared light fill light or visible light fill light.

[0054] The aforementioned second adjustment unit 303 can be specifically configured to obtain quality information of the image captured by the camera, and adjust the current of the fill light in the fill light group according to the quality information. In some embodiments, when images such as palm print grayscale images, palm vein grayscale images, or mixed grayscale images are captured, the image quality can be evaluated to obtain quality information, and the current of the fill light in the fill light group can be adjusted based on the quality information.

[0055] In practical applications, image quality evaluation can be achieved in a variety of ways. For example, a quality evaluation score threshold can be set, and meeting the threshold means meeting the image quality requirements (such as recognition and / or biopsy image quality requirements, etc.). The threshold can be set according to the image clarity, or according to any other reasonable evaluation parameters. The specific adjustment method for the current of the fill light can be obtained through deep learning, or it can be obtained by any reasonable method such as table lookup, fuzzy control, etc. The specific quality evaluation method and the specific process of how to adjust the current of the fill light in the fill light group are not limited here.

[0056] In some embodiments, the aforementioned fill light group 302 may include an infrared fill light and a visible fill light, and in this case, the second adjustment unit 303 is specifically configured to adjust the current ratio between the infrared fill light and the visible fill light according to the quality information. For example, if it is detected that the palm vein clarity in the image is insufficient, the current ratio between the infrared fill light and the visible fill light can be increased so that the palm can be fully exposed to the infrared light, thereby improving the palm vein clarity. When it is detected that the palm print clarity in the image is insufficient, the current ratio between the infrared fill light and the visible fill light can be reduced so that the palm can be fully exposed to the visible light, thereby improving the palm print clarity.

[0057] Figure 4 FIG. 4 is a schematic diagram showing a structure of an image processing module 400 for a palm-swiping device according to another embodiment of the present disclosure. It should be noted that: Figure 4 It can be understood that Figure 1 The further limitation of the functions of the image processing module 100, especially the further limitation of the image enhancement component. Figure 4 It can also be understood as a further expansion of the functions of the image processing module 200 or the image processing module 300. Figure 1 to Figure 3 The relevant description also applies to the following.

[0058] like Figure 4As shown, the image processing module 400 may include a camera 401 and an image enhancement component. The camera 401 in this example has all the functions of the camera 101, camera 201 or camera 301 mentioned above, so the relevant details of the camera 101, camera 201 or camera 301 can refer to the relevant description of the camera 401 mentioned above, and will not be repeated here.

[0059] exist Figure 4 In the image enhancement component, the image enhancement component may specifically include a shading sheet 402, a fill light group 403, a first adjustment unit 404, and a second adjustment unit 405. In practical applications, the exposure of the camera 401 when acquiring an image can be adjusted based on the shading sheet 402, the first adjustment unit 404, the fill light group 403, and the second adjustment unit 405 in the image enhancement component. The exposure of the camera 401 when acquiring an image can also be adjusted based on the shading sheet 402 and the first adjustment unit 404 in the image enhancement component. The exposure of the camera 401 when acquiring an image can also be adjusted based on the fill light group 403 and the second adjustment unit 405 in the image enhancement component. For details about the shading sheet, the fill light group, the first adjustment unit, and the second adjustment unit, please refer to the previous text Figure 2 or Figure 3 The relevant description in will not be repeated here.

[0060] Thus, through the cooperation between the image enhancement component and the single camera, any one or more images among the mixed grayscale image, the palm print grayscale image, and the palm vein grayscale image can be collected to meet the requirements of different application scenarios. In addition, the setting of the first adjustment unit and / or the second adjustment unit in the image enhancement component can enable the image processing module to adapt the proportion of visible light and infrared light in different application scenarios according to the requirements of different scenarios, so as to obtain a clear palm print image, palm vein image, or a palm print and palm vein mixed image, thereby increasing the scene adaptation capability of the image processing module and improving its recognition accuracy in various scenarios.

[0061] Above Figure 1 to Figure 4 The image processing module shown can be integrated into a palm-brushing device for use. Figure 5 A schematic block diagram showing a specific structure of the palm-brushing device 500 is shown.

[0062] like Figure 5 As shown, the palm-brushing device 500 may include an image processing module 501. The image processing module 501 may specifically include Figure 1 to Figure 4After the palm scanning device 500 integrates the image processing module 501, it can collect a mixed grayscale image containing both palm prints and palm veins based on a single camera. In addition, the ratio of visible light and infrared light in different application scenarios can be adapted based on the image enhancement component in the image processing module 501 to improve the scene adaptation ability of the palm scanning device and the recognition accuracy in various scenarios.

[0063] It should be noted that the number of image processing modules that can be integrated into the palm brush device is not limited here, and can be adjusted according to application requirements. For example, for some palm brush devices that require a compact structure, only one image processing module can be integrated. For some palm brush devices that require powerful image functions, multiple image processing modules can be integrated to enhance the image parallel processing capability of the entire palm brush device.

[0064] The following combination Figure 6 to Figure 9 The process of improving the recognition accuracy of the palm-brushing device 500 in different environments is described.

[0065] Figure 6 FIG. 6 is a schematic flow chart of a method 600 for a palm brushing device according to an embodiment of the present disclosure. It should be noted that the palm brushing device in this example may include Figure 1 to Figure 4 Any image processing module shown, so the previous article about Figure 1 to Figure 4 The relevant detailed description of is also applicable to the following. For example, the image processing module in the palm brushing device may include a single camera and an image enhancement component, wherein the image enhancement component may include a light shielding sheet, a first adjustment unit and / or a fill light group, and a second adjustment unit.

[0066] Specifically, Figure 6 As shown, at step S601, the application scenario requirements of the palm brush device can be obtained. In actual applications, factors such as the specific application environment and working mode of the palm brush device will lead to different application scenario requirements, and the image enhancement component is adaptively adjusted to adapt to different application scenario requirements. Therefore, obtaining specific application scenario requirements is conducive to subsequent precise regulation.

[0067] At step S602, the exposure of the palm prints and / or palm veins in the image captured by the camera can be adjusted by the image enhancement component in the palm scanning device according to the aforementioned application scenario requirements. The image enhancement component can adjust the ratio of infrared light and visible light entering the camera to adjust the exposure of the palm prints and / or palm veins in the image.

[0068] Therefore, by adaptively adjusting the exposure of palm prints and / or palm veins in the image according to the application scenario requirements of the palm scanning device, the recognition accuracy of the palm scanning device in different environments can be improved, and the adaptability of the palm scanning device to different scenarios can be enhanced, thereby improving the competitiveness of the palm scanning device in the market.

[0069] Figure 7 FIG. 7 is a schematic flow chart of a method 700 for a palm brushing device according to another embodiment of the present disclosure. It can be understood that method 700 is a further limitation or expansion of method 600. Figure 6 The relevant detailed description also applies to the following.

[0070] like Figure 7 As shown, at step S701, the natural light intensity information of the environment where the palm brush device is located and / or the working mode of the palm brush device can be obtained. At step S702, the application scenario requirements of the palm brush device can be determined based on the natural light intensity information and / or the working mode.

[0071] In some embodiments, the palm-brushing device is located in a different lighting environment, and the ratio of infrared light and visible light subsequently incident on the camera may be different. Therefore, the application scenario requirements can be determined based on the natural light intensity information of the environment in which the palm-brushing device is located. In practical applications, the natural light intensity information can be obtained in a variety of ways. For example, a photosensitive sensor can be set on the palm-brushing device, and the natural light intensity information can be obtained through the photosensitive sensor. For another example, the natural light intensity information can also be collected by an external photosensitive device, and the collected natural light intensity information can be transmitted to the palm-brushing device. It should be noted that the description of the process of obtaining the natural light intensity information here is only an exemplary description, and the scheme disclosed herein is not limited to this.

[0072] In other examples, the working modes of the palm-swiping device are different, and the ratio requirements of the subsequent infrared light and visible light injected into the camera are different. The working modes in this example may include, but are not limited to, a mode for collecting palm print images alone, a mode for collecting palm vein images alone, a mode for collecting mixed images alone, or a mode that requires collecting multiple or all of the aforementioned images, etc. In actual applications, the palm-swiping device can set a working mode by default, or it can allow users to select working modes. For example, different working mode buttons are set on the palm-swiping device, and when a certain button is detected to be manipulated, the working mode corresponding to the case is determined. Alternatively, a menu containing the above-mentioned multiple working modes can be provided to the user to obtain the working mode selected by the user, etc. The description of the working mode acquisition process here is only an exemplary description, and can be adjusted according to the requirements of human-computer interaction design.

[0073] In some other embodiments, the environment in which the palm-brushing device is located may be more complex (for example, outdoors) and the working mode requirements may also be different. In this case, the actual application scenario requirements can be determined by combining the natural light intensity information of the environment in which the palm-brushing device is located and its specific working mode.

[0074] After the application scenario requirements are determined, then, in step S703, the visible light fill light and / or the infrared fill light can be turned on or off in response to the application scenario requirements, and the target image can be captured based on the camera. The target image here can include any one or more of a palm print grayscale image, a palm vein grayscale image, and a mixed grayscale image of a palm print and a palm vein.

[0075] Next, at step S704, it can be detected whether the image quality of the collected target image meets the predetermined conditions. If the predetermined conditions are met, step S706 is executed. If the predetermined conditions are not met, step S705 is executed. In practical applications, the detection or evaluation of the target image quality can be achieved in a variety of ways. Among them, the predetermined conditions can be set according to various evaluation parameters. For example, a quality evaluation score threshold can be set, and meeting the threshold means that the predetermined condition is met. Among them, the threshold can be set according to parameters such as image clarity and whether the information is incomplete.

[0076] As described above, when the predetermined conditions are not met, then at step S705, in response to determining that the image quality of the aforementioned target image does not meet the preset conditions, the exposure of the palm print and / or palm vein in the image can be adjusted based on the adjustment of the adjustable filter and / or the adjustment of the visible light fill light and the infrared fill light.

[0077] In some embodiments, the ratio of the light flux of infrared light to visible light in the adjustable filter can be adjusted until the image quality of the target image meets the preset conditions. In other embodiments, the current ratio between the infrared fill light and the visible light fill light can be adjusted until the image quality of the target image meets the preset conditions. In some other embodiments, the ratio of the light flux of infrared light to visible light in the adjustable filter and the current ratio between the infrared fill light and the visible light fill light can be adjusted until the image quality of the target image meets the preset conditions. It should be noted that the specific adjustment method of the light flux ratio or the current ratio can be obtained by deep learning, or can also be obtained by any reasonable method such as table lookup, fuzzy control, etc., and the specific adjustment process is not limited here.

[0078] As described above, when the predetermined conditions are met, a target image that meets the preset conditions is obtained in step S706. Thus, the ratio of infrared light and visible light entering the camera is adjusted according to the application scenario requirements, so that the palm-swiping device can obtain the required high-quality images in different application scenarios. Thus, the recognition accuracy of the palm-swiping device in different environments is improved, and the adaptability of the palm-swiping device to different scenarios is enhanced.

[0079] Figure 8 FIG. 8 is a schematic flow chart of a method 800 for a palm-swiping device according to another embodiment of the present disclosure. It should be noted that the method 800 can be understood as a specific implementation process of the method 600 or the method 700. Figure 6 and Figure 7 The relevant description also applies to the following.

[0080] In this embodiment, the palm scanning device adopts a working mode of joint recognition of palm prints and palm veins (that is, a working mode that requires the acquisition of mixed grayscale images). Figure 8 As shown, at step S801, in this application scenario, the visible light fill light (such as a white light fill light) and the infrared fill light can be turned on.

[0081] In step S802, the palm is photographed by a camera to obtain a first image. In this example, the first image is a mixed image of palm prints and palm veins, that is, the mixed grayscale image mentioned above.

[0082] In step S803, image quality evaluation may be performed on the acquired image.

[0083] At step S804, an image quality judgment module can be specifically set in the palm brush device, and the mixed grayscale image can be evaluated by using the image quality judgment module. In some embodiments, it can be evaluated whether the mixed grayscale image meets the recognition and biopsy image quality requirements. If the image quality requirements are met, step S806 is executed, and if the image quality requirements are not met, step S805 is executed. It should be noted that the specific process of image quality evaluation is not limited here, and it can be set or adjusted according to parameters such as image clarity.

[0084] At step S805, when the evaluation result does not meet the recognition and biopsy image quality requirements, the ratio of infrared light to white light can be adjusted (for example, the ratio can be adjusted by a filter pass rate adjustment module) until the image quality meets the quality requirements.

[0085] In some embodiments, in step S805, the current adjustment module can be used to adjust the current ratio of the infrared light fill light to the white light fill light in the scene until the image quality meets the quality requirements. Alternatively, the filter pass rate adjustment module and the current adjustment module can be used to adjust the infrared light to white light pass ratio and the infrared light fill light to white light fill light current ratio until the image quality meets the quality requirements.

[0086] In step S806, when the evaluation result meets the recognition and biopsy image quality requirements, subsequent palm print and palm vein recognition and biopsy work is performed.

[0087] Fig. 9 FIG. 9 is a schematic flow chart of a method 900 for a palm brushing device according to another embodiment of the present disclosure. It should be noted that the method 900 can be understood as a specific implementation process of the method 600 or the method 700. Figure 6 and Figure 7 The relevant description also applies to the following.

[0088] In this embodiment, the palm scanning device adopts a design that can switch between a single recognition working mode and a palm print and palm vein joint recognition working mode.

[0089] like Fig. 9 As shown, in step S901, in this application scenario, the visible light fill light (such as white light fill light) can be turned on, and the infrared fill light can be turned off, and in step S902, the palm is photographed based on the camera to obtain a first image. In this example, the first image is a palm print grayscale image.

[0090] In step S903, the white light fill light can be turned off and the infrared light fill light can be turned on, and in step S904, the palm is photographed based on the camera to obtain a second image. In this example, the first image is a palm vein grayscale image.

[0091] In step S905, the white light fill light and the infrared fill light may be turned on, and in step S906, the palm is photographed based on the camera to obtain a third image. In this example, the third image is a mixed grayscale image.

[0092] It should be noted that the description of the acquisition process of the first image, the second image and the third image here is only an exemplary description. In practical applications, the order of acquiring the above three images is not limited.

[0093] In step S907, quality evaluation may be performed on the first image, the second image, and the third image respectively.

[0094] Specifically, at step S908, an image quality evaluation module may be used to evaluate the quality of the first image, the second image, and the third image. Specifically, it may be evaluated whether the first image, the second image, and the third image meet the quality requirements of the recognition and biopsy images. When all three images meet the quality requirements, step S910 is executed. When any one or more of the three images do not meet the quality requirements, step S909 is executed. It should be noted that the specific process of image quality evaluation is not limited here, and it can be set or adjusted according to parameters such as image clarity.

[0095] In step S909, when the evaluation result does not meet the recognition and biopsy image quality requirements, the current adjustment module can adjust the current ratio of the infrared light fill light and the white light fill light in the scene until the image quality meets the quality requirements.

[0096] In some embodiments, in step S909, the ratio of infrared light to white light passing through the scene can be adjusted by the filter pass rate adjustment module until the image quality meets the quality requirements. Alternatively, the ratio of infrared light to white light passing through and the ratio of the current of the infrared light fill light to the white light fill light can be adjusted by the filter pass rate adjustment module and the current adjustment module until the image quality meets the quality requirements.

[0097] At step S910, when the evaluation result meets the recognition and biopsy image quality requirements, subsequent recognition and biopsy work can be performed.

[0098] After introducing the method of the exemplary embodiment of the present disclosure, next, reference is made to Fig.10 A palm brushing device according to an exemplary embodiment of the present disclosure is described.

[0099] Fig.10 A schematic block diagram of a palm-brushing device 1000 according to another embodiment of the present disclosure is schematically shown.

[0100] like Fig.10 As shown, the palm brushing device 1000 may include a processor 1001, a memory 1002, and an image processing module 1003. The image processing module 1003 may include Figure 1 to Figure 4 The memory 1002 stores computer instructions for the palm brushing device. When the computer instructions are executed by the processor 1001, the palm brushing device 1000 executes the above-mentioned Figure 6 to Figure 9The method described. For example, in some embodiments, the palm-swiping device 1000 integrates a single camera in the image processing module, so that the overall volume is effectively reduced, and the palm prints and palm veins can be simultaneously presented by mixing grayscale images. As a result, it not only breaks through the traditional thinking inertia of collecting palm prints and palm vein images separately, but also expands a new image processing idea while meeting the use requirements. In addition, it can also adaptively adjust the exposure of palm prints and / or palm veins in the image in combination with the application scenario requirements of the palm-swiping device, thereby improving the recognition accuracy of the palm-swiping device in different environments.

[0101] In addition, the present disclosure also provides a computer-readable storage medium in which program instructions are stored, and the program instructions are configured to be executed at runtime. Figure 6 to Figure 9 A method for a palm-swiping device as shown in any of the figures.

[0102] Specifically, in this embodiment, the above-mentioned storage medium may include but is not limited to: a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and other media that can store computer programs.

[0103] It should be noted that although several devices or sub-devices of the device are mentioned in the above detailed description, this division is only exemplary and not mandatory. In fact, according to the embodiments of the present disclosure, the features and functions of two or more devices described above can be embodied in one device. Conversely, the features and functions of one device described above can be further divided into multiple devices to be embodied.

[0104] Although the spirit and principles of the present disclosure have been described with reference to several specific embodiments, it should be understood that the present disclosure is not limited to the disclosed specific embodiments, and the division of various aspects does not mean that the features in these aspects cannot be combined to benefit, and such division is only for the convenience of expression. The present disclosure is intended to cover various modifications and equivalent arrangements included in the spirit and scope of the attached claims. The scope of the attached claims conforms to the broadest interpretation, thereby including all such modifications and equivalent structures and functions.

Claims

1. An image processing module for a palm-swiping device, characterized in that: include: a single camera configured to capture a grayscale image of a palm print or palm vein; as well as The image enhancement component is arranged relative to the position of the camera and is configured to adjust the exposure of the camera when collecting images so as to collect at least a mixed grayscale image containing both palm prints and palm veins.

2. The image processing module according to claim 1, characterized in that: The image enhancement component is specifically configured to adjust the exposure of the palm print and / or the palm vein in the image so that the camera can capture the mixed grayscale image, the palm print grayscale image and / or the palm vein grayscale image.

3. The image processing module according to claim 2, characterized in that: The image enhancement component comprises: The filter is arranged in front of the camera and is configured to adjust the light transmission ratio of the infrared light and the visible light incident on the camera.

4. The image processing module according to claim 3, characterized in that: The filter is an adjustable filter, and the image enhancement component further comprises: The first adjustment unit is configured to obtain quality information of the image collected by the camera, and adjust the light transmission ratio of the infrared light and the visible light of the adjustable filter according to the quality information.

5. The image processing module according to claim 4, characterized in that: The tunable filter includes an electrochromic glass configured to allow dual pass of visible light and infrared light.

6. The image processing module according to any one of claims 1 to 5, characterized in that: The image enhancement component also includes: A fill light group, which is arranged relative to the position of the camera; and The second adjustment unit is configured to obtain quality information of the image collected by the camera and adjust the current of the fill light in the fill light group according to the quality information.

7. The image processing module according to claim 6, characterized in that: The fill light group includes an infrared fill light and a visible light fill light, and the second adjustment unit is specifically configured to adjust a current ratio between the infrared fill light and the visible light fill light according to the quality information.

8. A palm brushing device, characterized in that: Also includes: An image processing module according to any one of claims 1 to 7.

9. A method for using the palm brushing device according to claim 8, characterized in that: include: Obtain application scenario requirements of the palm-swiping device; as well as According to the application scenario requirements, the exposure of the palm prints and / or palm veins in the image captured by the camera is adjusted by the image enhancement component in the palm scanning device.

10. The method according to claim 9, characterized in that The application scenario requirements for obtaining the palm scanning device include: Obtaining natural light intensity information of the environment in which the palm-brushing device is located; and / or Obtaining the working mode of the palm-brushing device; Based on the natural light intensity information and / or the working mode, the application scenario requirements are determined.

11. The method according to claim 9, characterized in that The palm scanning device includes an adjustable filter, a visible light fill light and an infrared light fill light, and adjusting the exposure of the palm print and / or palm vein in the image collected by the camera includes: In response to the application scenario requirements, the visible light fill light and / or the infrared fill light are controlled to be turned on or off, and a target image is captured based on the camera, wherein the target image includes any one or more of a palm print grayscale image, a palm vein grayscale image, and a mixed grayscale image of a palm print and a palm vein; Detecting whether the image quality of the acquired target image meets a predetermined condition; and In response to determining that the image quality of the target image does not meet the preset condition, based on regulating the adjustable filter and / or regulating the visible light fill light and the infrared fill light, the exposure of the palm print and / or palm vein in the image is adjusted.

12. The method according to claim 11, characterized in that The regulation of the adjustable filter includes: The ratio of the amount of infrared light to the amount of visible light in the adjustable filter is adjusted until the image quality of the target image meets the preset condition.

13. The method according to claim 11, characterized in that The regulation of the visible light fill light and the infrared light fill light includes: The current ratio between the infrared fill light and the visible light fill light is adjusted until the image quality of the target image meets the preset condition.

14. A palm brushing device, characterized in that: Also includes: The image processing module according to any one of claims 1 to 7; processor; as well as A memory storing computer instructions for a palm-brushing device, wherein when the computer instructions are executed by the processor, the palm-brushing device executes the method according to any one of claims 9 to 13.

15. A computer-readable storage medium, characterized in that: The invention comprises program instructions for a palm-swiping device, and when the program instructions are executed by a processor, the method according to any one of claims 9 to 13 is implemented.

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