Biological feature recognition method, biological feature recognition system and electronic equipment

Abstract

The invention provides a biological feature recognition method, a biological feature recognition system and electronic equipment, which can give consideration to a target area and a background area in different application scenes so as to guarantee image quality. The biological feature recognition method comprises the steps that an image to be recognized is acquired, and the image to be recognized is acquired by an image sensor through a variable color filter; performing virtual partitioning on the to-be-identified image and the variable color filter respectively so as to construct a one-to-one correspondence mapping relation between image virtual partitions and color filter virtual partitions; carrying out image quality detection on the to-be-recognized image, and determining a color filtering virtual partition corresponding to the image virtual partition which does not meet the quality requirement in the to-be-recognized image based on the mapping relationship as a color filtering to-be-adjusted partition of the variable color filter; and correspondingly adjusting the voltage value of the color filtering zone to be adjusted so as to change the light passing rate of the variable color filter in the color filtering zone to be adjusted, so that the image quality meets the requirement.

Description

Technical Field

[0001] The present application relates to the field of biometric identification technology, and in particular to a biometric feature identification method, a biometric feature identification system and an electronic device. Background Art

[0002] With the development of intelligent visual sensors and biometric technology, the application scenarios of biometric recognition technology are becoming more and more extensive. However, different application scenarios often have different lighting conditions, which may affect the accuracy of biometric recognition, especially the glare and stray light generated under strong light, which will greatly reduce the pass rate of biometric recognition.

[0003] In order to reduce the impact of strong outdoor light, an existing method for adjusting exposure indoors and outdoors with high precision first takes images with the projector turned off or on to obtain the target area, and then adjusts the exposure according to the target area. Although it is not necessary to identify indoors or outdoors to accurately adjust the exposure of human body parts, this method needs to be adjusted according to the target area, and does not take into account the information of the background area, making it difficult to ensure image quality. Summary of the invention

[0004] One advantage of the present application is that it provides a biometric recognition method, a biometric recognition system and an electronic device, which can take into account both the target area and the background area in different application scenarios to ensure image quality.

[0005] Another advantage of the present application is that it provides a biometric identification method, a biometric identification system and an electronic device. In one embodiment of the present application, the biometric identification method can adjust the different partition voltages of the variable color filter device accordingly according to the image partition brightness to meet the different needs of different application scenarios.

[0006] Another advantage of the present application is that it provides a biometric identification method, a biometric identification system and an electronic device. In one embodiment of the present application, the biometric identification method can detect overexposure based on image partitioning to specifically adjust the light transmittance of the corresponding area on the variable color filter device to improve image quality.

[0007] Another advantage of the present invention is to provide a biometric identification method, a biometric identification system and an electronic device, wherein in order to achieve the above-mentioned purpose, no complicated structure and design are required in the present invention. Therefore, the present invention successfully and effectively provides a solution, not only providing a simple biometric identification method, a biometric identification system and an electronic device, but also increasing the practicality and reliability of the biometric identification method, a biometric identification system and an electronic device.

[0008] In order to achieve at least one of the above advantages or other advantages and purposes of the present invention, the present invention provides a biometric identification method, comprising the steps of: Acquire an image to be identified, wherein the image to be identified is acquired by an image sensor through a variable color filter device; Virtually partitioning the image to be identified and the variable color filter device respectively, so as to construct a one-to-one mapping relationship between the image virtual partitions of the image to be identified and the color filter virtual partitions of the variable color filter device; Performing image quality detection on the image to be identified, so as to determine, based on the mapping relationship, a color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirement in the image to be identified as the color filter partition to be adjusted of the variable color filter device; and The voltage value of the color filter subarea to be adjusted is adjusted accordingly to change the light transmission rate of the variable color filter device at the color filter subarea to be adjusted, so that the image quality meets the requirements.

[0009] According to an embodiment of the present application, before the step of acquiring the image to be identified, the step is also included: physically dividing the variable color filter device into n×m physical partitions arranged in an array, wherein the physical partitions are respectively controlled by relatively independent positive and negative circuits.

[0010] According to an embodiment of the present application, the step of performing virtual partitioning on the image to be identified and the variable color filter device respectively comprises the steps of: Virtually partitioning the image to be identified to form a plurality of image virtual partitions arranged in an array; Virtually partitioning the variable color filter device to form color filter virtual partitions corresponding to the image virtual partitions one by one, wherein each color filter virtual partition includes one or more physical partitions; and Based on the resolution of the image sensor, a mapping relationship between the image virtual partition and the color filter virtual partition is constructed.

[0011] According to one embodiment of the present application, the step of performing image quality detection on the image to be identified includes the steps of: Perform a full-image quality test on the image to be identified to determine whether it meets the image quality requirements: if so, directly perform biometric recognition; if not, determine the area in the image to be identified whose brightness does not meet the preset value as the image to be adjusted area; Determine the image virtual partition to which the image to-be-adjusted area belongs, as the image virtual partition that does not meet the quality requirement; and Based on the mapping relationship, a color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirement is searched on the variable color filter device to serve as the color filter partition to be adjusted.

[0012] According to an embodiment of the present application, the step of correspondingly adjusting the voltage value of the color filter subarea to be adjusted comprises the steps of: Adjusting the duty cycle of the voltage applied to the physical partition in the color filter to be adjusted partition by a pulse width modulation signal to change the light passing rate of the variable color filter device at the color filter to be adjusted partition; and The image to be identified is reacquired, and a partition quality detection is performed on the reacquired image to be identified to determine whether the corresponding image virtual partition meets the image quality requirements: if so, biometric recognition is performed; if not, the voltage duty cycle is cyclically adjusted until the image quality requirements are met.

[0013] According to another aspect of the present application, the present application further provides a biometric feature recognition system, comprising an image acquisition module and a processing module communicatively connected to each other; The image acquisition module includes an image sensor and a variable color filter device arranged in the light-sensing path of the image sensor, wherein the image sensor is used to collect image information through the variable color filter device to obtain an image to be recognized; And the processing module includes: A virtual partitioning module, communicatively connected to the image sensor, for performing virtual partitioning on the image to be identified and the variable color filter device, respectively, so as to construct a one-to-one mapping relationship between the image virtual partitions of the image to be identified and the color filter virtual partitions of the variable color filter device; a quality detection module, communicatively connected to the image sensor and the virtual partition module, for performing image quality detection on the image to be identified, so as to determine, based on the mapping relationship, a color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirement in the image to be identified as the color filter partition to be adjusted of the variable color filter device; and The voltage regulating module is communicatively connected to the quality detection module and the variable color filter device, and is used to correspondingly adjust the voltage value of the color filter subarea to be adjusted to change the light transmission rate of the variable color filter device at the color filter subarea to be adjusted so that the image quality meets the requirements.

[0014] According to one embodiment of the present application, the variable color filter device includes a pair of transparent electrode layers and at least one electrochromic layer disposed between the two transparent electrode layers.

[0015] According to an embodiment of the present application, the transparent electrode layer in the variable color filter device is arranged by a plurality of partition circuit arrays that are independently controlled to physically divide the variable color filter device into a physical partition matrix.

[0016] According to an embodiment of the present application, each of the color-filtered virtual partitions includes one or more physical partitions that are independently controlled by adjustable voltages.

[0017] According to another aspect of the present application, the present application further provides an electronic device, including: The device itself; and Any of the above-mentioned biometric identification systems, wherein the biometric identification system is assembled on the device body.

[0018] In summary, when performing image quality detection on the image to be identified, if it is found that the image quality of a certain image virtual partition in the image to be identified does not meet the quality requirements, the color filter partition to be adjusted on the variable color filter device can be easily determined according to the above mapping relationship, and then the voltage applied to the color filter partition to be adjusted on the variable color filter device is adjusted, so that the light transmittance on the variable color filter device at the color filter partition to be adjusted can be changed, until the image collected by the image sensor through the variable color filter device meets the image quality requirements, so as to adapt to the needs of different application scenarios.

[0019] In addition, the biometric recognition method of the present application also performs virtual partitioning on the image to be recognized and the variable color filter device respectively, so as to determine the color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirements in the image to be recognized as the color filter partition to be adjusted of the variable color filter device, so as to facilitate targeted adjustment of the light transmittance of the color filter partition to be adjusted on the variable color filter device, without the need to adjust the color filter virtual partition on the variable color filter device corresponding to the image virtual partition that meets the quality requirements, which helps to take into account both the target area and the background area and ensure image quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 is a flowchart of a biometric identification method according to an embodiment of the present application; Figure 2 A schematic flow chart of the virtual partitioning step in the biometric feature recognition method according to the above embodiment of the present application is shown; Figure 3 A schematic flow chart of the quality detection step in the biometric feature recognition method according to the above embodiment of the present application is shown; Figure 4 A schematic flow chart of a voltage adjustment step in a biometric feature recognition method according to the above embodiment of the present application is shown; Figure 5A An example of an image to be identified before virtual partitioning in the biometric feature identification method according to the above embodiment of the present application is shown; Figure 5B An example of an image to be identified after virtual partitioning in the biometric feature identification method according to the above embodiment of the present application is shown; Figure 5CAn example of a variable color filter device after mapping in the biometric feature recognition method according to the above embodiment of the present application is shown; Figure 6 is a schematic diagram of the structure of a biometric identification system according to an embodiment of the present application; Figure 7 An example of a variable color filter device in a biometric identification system according to the above embodiment of the present application is shown; Figure 8 An example of a transparent electrode layer after physical segmentation in a variable color filter device according to the above embodiment of the present application is shown; Fig. 9 An example of a mapping relationship between a variable color filter device and an image to be recognized according to the above embodiment of the present application is shown; Fig.10 Another example of the mapping relationship between the variable color filter device and the image to be recognized according to the above embodiment of the present application is shown; Fig.11 Another example of a mapping relationship between the variable color filter device and the image to be recognized according to the above embodiment of the present application is shown; Fig.12 It is a schematic block diagram of an electronic device according to an embodiment of the present application. Description of main component symbols: 10. Image acquisition module; 11. Image sensor; 110. Image virtual partition; 12. Variable color filter device; 120. Color filter virtual partition; 121. Transparent electrode layer; 1210. Physical partition; 122. Electrochromic layer; 20. Processing module; 21. Virtual partition module; 22. Quality detection module; 23. Voltage regulation module; 30. Equipment body.

[0021] The above description of the main component symbols is combined with the accompanying drawings and specific implementation methods to further illustrate the present invention in detail. DETAILED DESCRIPTION

[0022] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0023] In the present invention, the term "one" in the claims and the specification should be understood as "one or more", that is, in one embodiment, the number of an element can be one, while in another embodiment, the number of the element can be multiple. Unless it is clearly indicated in the disclosure of the present invention that the number of the element is only one, the term "one" cannot be understood as unique or single, and the term "one" cannot be understood as a limitation on the quantity.

[0024] In the description of the present invention, it should be understood that "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. In the description of the present invention, it should be noted that, unless otherwise clearly specified and limited, "connected" and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through a medium. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0025] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0026] Considering that in order to reduce the impact of strong outdoor light, the existing biometric recognition scheme first takes images with the projector turned off or on to obtain the target area, and then adjusts according to the target area, so that the exposure of human body parts can be accurately adjusted without identifying indoors or outdoors. However, this scheme needs to be adjusted according to the target area, and does not take into account the information of the background area, making it difficult to ensure image quality. In view of this, the present application creatively proposes a biometric recognition method, a biometric recognition system, and an electronic device, which can take into account both the target area and the background area in different application scenarios to ensure image quality.

[0027] Specifically, refer to the accompanying drawings of the specification of this application. Figure 1 According to an embodiment of the present application, a biometric feature recognition method is provided, which may include the steps of: S100: Acquire an image to be identified, wherein the image to be identified is acquired by an image sensor through a variable color filter device; S200: Virtually partitioning the image to be identified and the variable color filter device respectively, so as to construct a one-to-one mapping relationship between the image virtual partitions of the image to be identified and the color filter virtual partitions of the variable color filter device; S300: performing image quality detection on the image to be identified, so as to determine, based on the mapping relationship, a color filter virtual partition corresponding to an image virtual partition that does not meet the quality requirement in the image to be identified as a color filter partition to be adjusted of the variable color filter device; and S400: correspondingly adjusting the voltage value of the color filter subarea to be adjusted to change the light transmission rate of the variable color filter device at the color filter subarea to be adjusted so that the image quality meets the requirements.

[0028] It is worth noting that, since the image virtual partitions of the image to be identified correspond one by one to the color filter virtual partitions of the variable color filter device, when the image quality of the image to be identified is detected, if it is found that the image quality of a certain image virtual partition in the image to be identified does not meet the quality requirements (such as the brightness of a certain image virtual partition does not meet the preset value), then the color filter partition to be adjusted on the variable color filter device can be easily determined according to the above mapping relationship, and then the voltage applied to the color filter partition to be adjusted on the variable color filter device is adjusted, so that the light transmittance at the color filter partition to be adjusted on the variable color filter device can be changed until the image collected by the image sensor through the variable color filter device meets the image quality requirements, so as to adapt to the needs of different application scenarios. In other words, the light transmittance of different color filter virtual partitions on the variable color filter device is adjusted according to the voltage, and the voltage value is determined according to the brightness value of the corresponding image virtual partition on the image to be identified, so the voltage of the variable color filter device of the present application can be adaptively adjusted according to the different needs of different application scenarios.

[0029] In addition, the biometric identification method of the present application also performs virtual partitioning on the image to be identified and the variable color filter device, respectively, to determine the color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirements in the image to be identified as the color filter partition to be adjusted of the variable color filter device, so as to facilitate targeted adjustment of the light pass rate of the color filter partition to be adjusted on the variable color filter device, without the need to adjust the color filter virtual partition corresponding to the image virtual partition that meets the quality requirements on the variable color filter device, which helps to take into account both the target area and the background area and ensure image quality. It can be understood that if all the partition voltages of the variable color filter device are adjusted as a whole, although the image virtual partition corresponding to the color filter partition to be adjusted meets the image quality requirements, the image virtual partitions corresponding to other color filter virtual partitions may not meet the image quality requirements due to changes in light pass rate.

[0030] Illustratively, before step S100 of the biometric identification method of the present application, the step is also included: physically dividing the variable color filter device into n×m physical partitions arranged in an array, wherein the physical partitions are respectively switched by relatively independent positive and negative circuits, so as to specifically control the voltage adjustment of the color filter partition to be adjusted on the variable color filter device, so that the light transmittance of the color filter partition to be adjusted is adjusted and controlled accordingly.

[0031] Alternatively, if Figure 2 As shown, step S200 of the biometric identification method of the present application may include the following steps: S210: Virtually partitioning the image to be recognized to form a plurality of image virtual partitions arranged in an array; S220: Virtually partitioning the variable color filter device to form color filter virtual partitions corresponding to the image virtual partitions one by one, wherein each color filter virtual partition includes one or more physical partitions; and S230: constructing a mapping relationship between the image virtual partition and the color filter virtual partition based on the resolution of the image sensor.

[0032] Alternatively, if Figure 3 As shown, step S300 of the biometric identification method of the present application may include the following steps: S310: Performing a full-image quality test on the image to be identified to determine whether it meets the image quality requirements: if so, directly performing biometric recognition; if not, determining the area in the image to be identified whose brightness does not meet the preset value as the image to be adjusted area; S320: Determine the image virtual partition to which the image to-be-adjusted area belongs, as the image virtual partition that does not meet the quality requirement; and S330: Based on the mapping relationship, searching for a color filter virtual partition on the variable color filter device that corresponds to the image virtual partition that does not meet the quality requirement, to serve as the color filter partition to be adjusted.

[0033] It is worth noting that in step S310 of the biometric identification method of the present application: the area in the image to be identified whose brightness does not meet the preset value can be found through the image quality detection algorithm as the image to be adjusted area. Correspondingly, in step S330 of the biometric identification method of the present application: the pixel starting point of the image to be adjusted area in the image to be identified can be first detected through the algorithm, and then the starting point of the color filter virtual partition can be found through the mapping relationship, so as to determine the color filter to be adjusted partition in the variable color filter device.

[0034] In addition, in step S400 of the biometric identification method of the present application: the color filter partition to be adjusted of the present application can, but is not limited to, change the voltage value by adjusting the voltage duty cycle through a pulse width modulation (PWM) signal of a system-on-chip (SoC) to change the light transmission rate of the variable color filter device at the color filter partition to be adjusted.

[0035] Alternatively, if Figure 4 As shown, step S400 of the biometric identification method of the present application may include the following steps: S410: adjusting the duty cycle of the voltage applied to the physical partition in the color filter to be adjusted partition by a pulse width modulation signal to change the light transmission rate of the variable color filter device at the color filter to be adjusted partition; and S420: reacquire the image to be identified, and perform partition quality detection on the reacquired image to be identified to determine whether the corresponding image virtual partition meets the image quality requirements: if so, perform biometric recognition; if not, cyclically adjust the voltage duty cycle until the image quality requirements are met.

[0036] It is worth noting that the biometric identification method of the present application performs a partition quality test on the reacquired image to be identified in step S420, which is beneficial to reduce the amount of calculation for quality detection and improve the efficiency of biometric identification. Of course, in other examples of the present application, the biometric identification method of the present application can also perform a full-image quality test on the reacquired image to be identified, and the present application will not repeat this.

[0037] For example, the biometric identification method of the present application obtains Figure 5A After the image to be identified is shown, the image to be identified is first virtually partitioned to obtain the following Figure 5B The first image virtual partition to the 16th image virtual partition of the array arrangement shown in the figure are then subjected to image quality detection to determine whether the image to be identified is Figure 5B The yellow area in the image to be identified does not meet the quality requirements and is used as the image to be adjusted area, and then the image virtual partition to which the image to be adjusted area belongs is determined as follows Figure 5B The second image virtual partition and the sixth image virtual partition in the image to be identified are shown in FIG. 1 ; then, based on the mapping relationship, determine Figure 5C The second color filter virtual partition and the sixth color filter virtual partition in the variable color filter shown are used as the color filter partitions to be adjusted of the variable color filter device; finally, the voltage values ​​of the second color filter virtual partition and the sixth color filter virtual partition are adaptively adjusted respectively to change the light transmittance of the variable color filter device at the second color filter virtual partition and the sixth color filter virtual partition until the image quality meets the requirements.

[0038] It is worth mentioning that according to another aspect of the present application, Figure 6 As shown, the present application further provides a biometric feature recognition system, which may include an image acquisition module 10 and a processing module 20 that are communicatively connected to each other. The image acquisition module 10 includes an image sensor 11 and a variable color filter device 12 disposed in a light sensing path of the image sensor 11, wherein the image sensor 11 is used to collect image information through the variable color filter device 12 to obtain an image to be recognized. The processing module 20 includes a virtual partitioning module 21, a quality detection module 22 and a voltage adjustment module 23; the virtual partitioning module 21 is communicatively connected to the image sensor 11, and is used to perform virtual partitioning on the image to be identified and the variable color filter device 12 respectively, so as to construct a one-to-one mapping relationship between the image virtual partitions of the image to be identified and the color filter virtual partitions of the variable color filter device 12; the quality detection module 22 is communicatively connected to the image sensor 11, and is used to perform image quality detection on the image to be identified acquired via the image sensor 11, so as to determine the color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirements in the image to be identified based on the mapping relationship, as the color filter partition to be adjusted of the variable color filter device; the voltage adjustment module 23 is communicatively connected to the variable color filter device 12, and is used to correspondingly adjust the voltage value of the color filter partition to be adjusted, so as to change the light transmission rate of the variable color filter device 12 at the color filter partition to be adjusted, so that the image quality meets the requirements.

[0039] It is worth noting that in one example of the present application, Figure 6 As shown, the variable color filter device 12 can be attached to the photosensitive surface of the image sensor 11. It can be understood that Figure 6 The figure is only an application example, but in other examples of the present application, the variable color filter device 12 may also be arranged at intervals from the image sensor 11, and the present application does not limit the specific positional relationship between the image sensor 11 and the variable color filter device 12.

[0040] For example, Figure 7As shown, the variable color filter device 12 may include a pair of transparent electrode layers 121 and at least one electrochromic layer 122 disposed between the two transparent electrode layers 121. In this way, when a voltage is applied to the electrochromic layer 122 through the two transparent electrode layers 121, the absorption spectrum of the electrochromic layer 122 will change, thereby changing the light transmission rate of the variable color filter device 12; when the voltage is removed, the electrochromic layer 122 will return to the original absorption spectrum, so that the variable color filter device 12 returns to the original light transmission rate. It can be understood that the electrochromic layer 122 mentioned in the present application can be, but is not limited to, implemented as a polymer, gel or inorganic material containing specific chemical substances, ensuring that the electrochromic material can be restored to its original state after the voltage is removed, and ensuring that the state change is reversible. In addition, the transparent electrode layer 121 mentioned in the present application can be, but is not limited to, implemented as glass plated with electrode circuits.

[0041] Optionally, the transparent electrode layer 121 in the variable color filter device 12 is arranged by a plurality of partition circuit arrays that are independently controlled to physically divide the variable color filter device 12 into a physical partition matrix.

[0042] Alternatively, if Figure 8 As shown, each color filter virtual partition 120 in the variable color filter device 12 may include a plurality of physical partitions 1210 that are independently controlled by adjustable voltages. Figure 8 As shown, the variable color filter device 12 can be divided into an n×m physical partition matrix, that is, the variable color filter device 12 can include n×m physical partitions 1210 arranged in an array. Fig. 9 As shown, each color filter virtual partition 120 may include 3×4 physical partitions 1210; or Fig.10 As shown in FIG. 1 , each color filter virtual partition 120 may also include 3×2 physical partitions 1210. Accordingly, since the image virtual partitions 110 correspond one-to-one to the color filter virtual partitions 120, Fig. 9 and Fig.10 As shown, each image virtual partition 110 corresponds to 3×4 physical partitions 1210 or 3×2 physical partitions 1210. In this way, when a certain image virtual partition 110 does not meet the image quality requirement during image quality detection, the color filter virtual partition 120 corresponding to the image virtual partition 110 that does not meet the quality requirement is determined based on the mapping relationship as the color filter partition to be adjusted, and then the voltages of all physical partitions 1210 in the color filter partition to be adjusted are adjusted to change the light transmission rate of the variable color filter device 12 at the color filter partition to be adjusted, until the image virtual partition 110 corresponding to the color filter partition to be adjusted meets the image quality requirement.

[0043] It is worth noting that in other examples of the present application, each color filter virtual partition 120 may also include only one physical partition 1210, that is, the color filter virtual partition 120 corresponds to the physical partition 1210 one by one. Fig.11 As shown, the variable color filter device 12 can be divided into an n×m physical partition matrix, that is, the variable color filter device 12 can include n×m physical partitions 1210 arranged in an array. Fig.11 As shown, each color-filtered virtual partition 120 may include one physical partition 1210 .

[0044] It is worth mentioning that according to another aspect of the present application, Fig.12 As shown, the present application may further provide an electronic device, which may include the above-mentioned biometric identification system and a device body 30, wherein the biometric identification system is assembled on the device body 30, and is used to control the device body 30 to perform corresponding functions when the biometric identification is successful, such as unlocking, security, mobile payment, identity authentication, smart interaction or real-name authentication.

[0045] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0046] The above embodiments only express several implementation methods of the present invention, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, and these all belong to the protection scope of the present invention.

Claims

1. A biometric identification method, characterized in that: Includes steps: Acquire an image to be identified, wherein the image to be identified is acquired by an image sensor through a variable color filter device; Virtually partitioning the image to be identified and the variable color filter device respectively, so as to construct a one-to-one mapping relationship between the image virtual partitions of the image to be identified and the color filter virtual partitions of the variable color filter device; Performing image quality detection on the image to be identified, so as to determine, based on the mapping relationship, a color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirement in the image to be identified as the color filter partition to be adjusted of the variable color filter device; as well as The voltage value of the color filter subarea to be adjusted is adjusted accordingly to change the light transmission rate of the variable color filter device at the color filter subarea to be adjusted, so that the image quality meets the requirements.

2. The biometric feature recognition method according to claim 1, characterized in that: Before the step of acquiring the image to be recognized, the method further includes the step of physically dividing the variable color filter device into n×m physical partitions arranged in an array, wherein the physical partitions are respectively controlled by relatively independent positive and negative circuits.

3. The biometric feature recognition method according to claim 2, characterized in that: The step of performing virtual partitioning on the image to be identified and the variable color filter device respectively comprises the steps of: Virtually partitioning the image to be identified to form a plurality of image virtual partitions arranged in an array; Virtually partitioning the variable color filter device to form color filter virtual partitions corresponding to the image virtual partitions one by one, wherein each color filter virtual partition includes one or more physical partitions; as well as Based on the resolution of the image sensor, a mapping relationship between the image virtual partition and the color filter virtual partition is constructed.

4. The biometric feature recognition method according to any one of claims 1 to 3, characterized in that: The step of performing image quality detection on the image to be identified comprises the steps of: Perform a full-image quality test on the image to be identified to determine whether it meets the image quality requirements: if so, directly perform biometric recognition; if not, determine the area in the image to be identified whose brightness does not meet the preset value as the image to be adjusted area; Determine the image virtual partition to which the image to-be-adjusted area belongs, as the image virtual partition that does not meet the quality requirement; as well as Based on the mapping relationship, a color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirement is searched on the variable color filter device to serve as the color filter partition to be adjusted.

5. The biometric feature recognition method according to claim 2 or claim 3, characterized in that: The step of correspondingly adjusting the voltage value of the color filter subarea to be adjusted comprises the steps of: Adjusting the duty cycle of the voltage applied to the physical partition in the color filter to be adjusted partition by a pulse width modulation signal to change the light passing rate of the variable color filter device at the color filter to be adjusted partition; and Reacquire the image to be identified, and perform a partition quality test on the reacquired image to be identified to determine whether the corresponding virtual partition of the image meets the image quality requirements: if so, perform biometric recognition; If not, the voltage duty cycle is adjusted cyclically until the image quality requirement is met.

6. A biometric recognition system, characterized in that comprising an image acquisition module and a processing module which are communicatively connected to each other; The image acquisition module includes an image sensor and a variable color filter device arranged in the light-sensing path of the image sensor, wherein the image sensor is used to collect image information through the variable color filter device to obtain an image to be recognized; And the processing module includes: A virtual partitioning module, communicatively connected to the image sensor, for performing virtual partitioning on the image to be identified and the variable color filter device, respectively, so as to construct a one-to-one mapping relationship between the image virtual partitions of the image to be identified and the color filter virtual partitions of the variable color filter device; a quality detection module, communicatively connected to the image sensor and the virtual partition module, for performing image quality detection on the image to be identified, so as to determine, based on the mapping relationship, a color filter virtual partition corresponding to the image virtual partition that does not meet the quality requirement in the image to be identified as the color filter partition to be adjusted of the variable color filter device; and The voltage regulating module is communicatively connected to the quality detection module and the variable color filter device, and is used to correspondingly adjust the voltage value of the color filter subarea to be adjusted to change the light transmission rate of the variable color filter device at the color filter subarea to be adjusted so that the image quality meets the requirements.

7. The biometric recognition system according to claim 6, characterized in that: The variable color filter device includes a pair of transparent electrode layers and at least one electrochromic layer disposed between the two transparent electrode layers.

8. The biometric feature recognition system according to claim 7, characterized in that: The transparent electrode layer in the variable color filter device is arranged by a plurality of partition circuit arrays that are independently controlled to physically divide the variable color filter device into a physical partition matrix.

9. The biometric feature recognition system according to claim 8, characterized in that: Each of the color-filtered virtual partitions includes one or more physical partitions that are independently controlled by adjustable voltages.

10. An electronic device, characterized in that include: Equipment body; and The biometric identification system according to any one of claims 6 to 9, wherein the biometric identification system is mounted on the device body.

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