Integrated mobile hard disk with built-in fingerprint identification module and control method

Abstract

The embodiment of the invention discloses an integrated mobile hard disk drive with a built-in fingerprint identification module and a control method, a user puts a finger in a fingerprint identification area, and the fingerprint identification module performs fingerprint acquisition and comparison on the contacted finger and outputs an identification result; the illumination module is started to irradiate light to the fingerprint recognition area to enhance the image acquisition effect and ensure image brightness comparison, and the image acquisition module acquires a finger image in the recognition area and transmits the finger image to the judgment module. The judgment module intelligently analyzes the collected finger image, if abnormal features exist in the image, it is indicated that fingerprint counterfeiting or fingerprint film may exist, under the condition, the system generates a fingerprint recognition error command, and even if preliminary fingerprint verification is passed, the unlocking process will be terminated. According to the integrated mobile hard disk, fingerprint identification and image anomaly detection are combined, a dual verification mechanism is formed, a fake fingerprint behavior is effectively identified, and the anti-cracking capability of the integrated mobile hard disk with the built-in fingerprint identification module is enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of mobile hard disks, and in particular to an integrated mobile hard disk with a built-in fingerprint recognition module and a control method thereof. Background Art

[0002] Due to their portability and high capacity, portable hard drives are widely used in data storage and transmission. To meet users' demands for data privacy and security, some portable hard drives are equipped with encryption features to prevent others from accessing or copying the data stored on the hard drive.

[0003] Existing encryption measures are generally password verification or fingerprint verification. During the password verification process, each time the mobile hard drive is used, it needs to be verified with the password before it can be used. This is very cumbersome. In addition, others can directly bypass the password during the cracking process to view or transfer the contents of the mobile hard drive, which is very likely to cause the internal files of the mobile hard drive to be leaked.

[0004] Fingerprint authentication on mobile hard drives allows for easy access and transfer of data after fingerprint recognition, making them a popular choice. However, some criminals exploit fingerprint extraction and verification methods to crack the hard drive. These attempts often involve applying a fingerprint mask to a finger, which then "tricks" the fingerprint recognition module within the hard drive, unlocking the hard drive with a fingerprint. This allows them to access or transfer files within the hard drive, potentially leaking confidential information. Summary of the Invention

[0005] Based on this, it is necessary to address the above problems and propose an integrated mobile hard disk with a built-in fingerprint recognition module and a control method to solve the above technical problems.

[0006] In the first aspect, an integrated mobile hard disk with a built-in fingerprint recognition module is proposed, comprising:

[0007] Fingerprint recognition module, used to recognize fingerprints and generate fingerprint recognition results;

[0008] An illumination module, used to illuminate the finger within the fingerprint recognition area;

[0009] An image acquisition module is used to acquire an image of the finger under illumination in the fingerprint area;

[0010] The judgment module analyzes the fingerprint recognition result, and if the recognition is passed, determines whether there is any abnormality in the finger image, and generates a fingerprint recognition error command if there is any abnormality.

[0011] In at least one embodiment of the present application, if the judgment module determines that the finger image is normal, the stored data is unlocked.

[0012] In at least one embodiment of the present application, including:

[0013] a detection module, detecting whether the fingerprint recognition module is damaged, and if so, generating a backup unlocking instruction;

[0014] The backup unlocking module receives the backup unlocking instruction, receives an externally input unlocking password, verifies the unlocking password, and unlocks the stored data if the verification is successful.

[0015] In at least one embodiment of the present application, the integrated mobile hard disk with a built-in fingerprint recognition module has a mounting surface with a groove provided on the mounting surface. The fingerprint recognition module, the illumination module and the image acquisition module are all located in the groove. The illumination module is arranged obliquely with respect to the image acquisition module, and the light emitted by the illumination module intersects at the focus of the image acquisition module.

[0016] In a second aspect, a control method for an integrated mobile hard disk with a built-in fingerprint recognition module is applied to the integrated mobile hard disk with a built-in fingerprint recognition module as described in any one of the above, the method comprising:

[0017] Obtain the fingerprint recognition result after the fingerprint recognition module recognizes;

[0018] Analyze the fingerprint recognition result. If the fingerprint recognition result is a pass, receive the finger image acquired by the image recognition module and send the finger image to the judgment module;

[0019] The control judgment module analyzes the finger image to determine whether there is an abnormality. If there is an abnormality, a fingerprint recognition error command is generated and sent to the outside.

[0020] In at least one embodiment of the present application, the method further includes:

[0021] The control judgment module analyzes whether there is any abnormality in the finger image. If it is normal, the stored data is unlocked.

[0022] In at least one embodiment of the present application, the control judgment module analyzes whether there is an abnormality in the finger image, and if there is no abnormality, generates a fingerprint recognition error command and sends the fingerprint recognition error command to the outside. The specific steps include:

[0023] The control judgment module analyzes the finger image, and the judgment module adjusts the brightness of the finger image to generate a brightness-adjusted image;

[0024] It is determined whether there is a shadow area in the brightness area of ​​the brightness-adjusted image, and if there is a shadow area, it is determined that an abnormality exists.

[0025] In at least one embodiment of the present application, the step of determining whether there is a shadow area in the brightness area of ​​the brightness-adjusted image, and determining that an abnormality exists if a shadow area exists, further includes:

[0026] It is determined whether there is a shadow area in the brightness area of ​​the brightness-adjusted image, and if there is no shadow area, it is determined to be normal.

[0027] In at least one embodiment of the present application, the steps before obtaining the fingerprint recognition result after recognition by the fingerprint recognition module include:

[0028] Check whether the fingerprint module can work normally. If it cannot work normally, it is judged to be damaged and a backup unlocking instruction is generated;

[0029] The backup unlocking instruction is sent to the backup unlocking module to control the backup unlocking module to execute the backup unlocking instruction. The backup unlocking module receives the unlocking password input from the outside and verifies the unlocking password with the stored password. If the verification is successful, the stored data is unlocked.

[0030] In at least one embodiment of the present application, the method further includes:

[0031] If the fingerprint module fails to work properly, the upper shell sensor and the lower shell sensor of the integrated mobile hard disk with a built-in fingerprint recognition module are detected to see whether they are electrically connected. If not, it is determined to be a violent disassembly, and a unique verification password is generated. The unique verification password is sent to the bound user, and the stored password is replaced with the unique verification password.

[0032] The implementation of the integrated mobile hard disk with a built-in fingerprint recognition module and the control method of this embodiment will have at least the following beneficial effects:

[0033] In the integrated mobile hard disk and control method with a built-in fingerprint recognition module provided above, the user places his finger on the fingerprint recognition area, and the fingerprint recognition module collects and compares the fingerprint of the touched finger and outputs the recognition result; at the same time, the lighting module is started and actively shines light on the fingerprint recognition area to enhance the image acquisition effect and ensure the image brightness contrast. The image acquisition module collects the finger image in the current recognition area and transmits the finger image to the judgment module.

[0034] The judgment module performs intelligent analysis on the collected finger images. If there are abnormal features in the image, it indicates that there may be a forged fingerprint or fingerprint film. In this case, the system generates a fingerprint recognition error command. Even if the initial fingerprint verification is passed, the unlocking process will be terminated to improve the anti-theft protection of the information in the integrated mobile hard disk with a built-in fingerprint recognition module.

[0035] Combining fingerprint recognition with image anomaly detection forms a dual verification mechanism, effectively identifying forged fingerprint behavior, and fundamentally enhancing the anti-cracking capability of the integrated mobile hard drive with a built-in fingerprint recognition module. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0037] in:

[0038] Figure 1 A structural diagram of an integrated mobile hard disk with a built-in fingerprint recognition module in one embodiment;

[0039] Figure 2 A cross-sectional view of an integrated mobile hard disk with a built-in fingerprint recognition module in use according to an embodiment;

[0040] Figure 3 A structural block diagram of an integrated mobile hard disk with a built-in fingerprint recognition module in one embodiment;

[0041] Figure 4 This is a flow chart of a method for controlling an integrated mobile hard disk with a built-in fingerprint recognition module in one embodiment;

[0042] Figure 5 is a flow chart of a control method of an integrated mobile hard disk with a built-in fingerprint recognition module in another embodiment;

[0043] Figure 6 A flowchart of a method for controlling an integrated mobile hard disk with a built-in fingerprint recognition module in yet another embodiment;

[0044] Figure 7 for Figure 6 Flowchart of a control method of an integrated mobile hard disk with a built-in fingerprint recognition module in another embodiment.

[0045] in:

[0046] 100. An integrated mobile hard disk with a built-in fingerprint recognition module; 110. A fingerprint recognition module; 120. An illumination module; 130. An image acquisition module; 140. A judgment module; 150. A detection module; 160. An alternative unlocking module. DETAILED DESCRIPTION

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0048] In a first aspect, an integrated mobile hard disk 100 with a built-in fingerprint recognition module is proposed, comprising:

[0049] Fingerprint recognition module 110, used to recognize fingerprints and generate fingerprint recognition results;

[0050] The illumination module 120 is used to illuminate the finger in the fingerprint recognition area;

[0051] An image acquisition module 130 is used to acquire an image of the finger under illumination in the fingerprint area;

[0052] The judgment module 140 analyzes the fingerprint recognition result, and if the recognition is passed, determines whether there is any abnormality in the finger image, and generates a fingerprint recognition error command if there is any abnormality.

[0053] Please refer to Figure 1-Figure 3 In this embodiment, the user places the finger in the fingerprint recognition area, and the fingerprint recognition module 110 performs fingerprint collection and comparison operations on the contacted finger and outputs the recognition result; at the same time, the lighting module 120 is started and actively irradiates light to the fingerprint recognition area to enhance the image acquisition effect and ensure the image brightness contrast. The image acquisition module 130 collects the finger image in the current recognition area and transmits the finger image to the judgment module 140.

[0054] The judgment module 140 performs intelligent analysis on the collected finger image. If there are abnormal features in the image, it indicates that there may be a forged fingerprint or a fingerprint film. In this case, the system generates a fingerprint recognition error command. Even if the preliminary fingerprint verification is passed, the unlocking process will be terminated to improve the anti-theft protection of the information in the integrated mobile hard disk 100 with a built-in fingerprint recognition module.

[0055] Combining fingerprint recognition with image anomaly detection forms a dual verification mechanism, effectively identifying forged fingerprints and fundamentally enhancing the anti-cracking capability of the integrated mobile hard disk 100 with a built-in fingerprint recognition module.

[0056] The integrated mobile hard disk 100 with a built-in fingerprint recognition module does not rely entirely on the single-point result of the fingerprint recognition module 110 to unlock data, but re-verifies the user's finger image at the same time as the recognition is passed. Therefore, even if there is a risk of the fingerprint recognition module 110 being hacked, the potential attack behavior can be intercepted outside the recognition process through the supplementary verification method of the image judgment module 140, significantly reducing the probability of storage data leakage due to fingerprint cracking.

[0057] In at least one embodiment of the present application, if the determination module 140 determines that the finger image is normal, the stored data is unlocked.

[0058] Please refer to Figure 1-Figure 3 In this embodiment, the user places his finger on the fingerprint recognition area, and the fingerprint recognition module 110 collects the user's fingerprint and compares it with the stored fingerprint template. If the recognition fails, the subsequent operation is terminated. If the recognition passes, it enters the next stage.

[0059] While fingerprint recognition is in progress, the integrated mobile hard disk 100 with a built-in fingerprint recognition module starts the illumination module 120 to illuminate the finger in the recognition area. The image acquisition module 130 synchronously captures the finger image of the fingertip in the area. The judgment module 140 receives the finger image and analyzes the brightness, structure, texture and other features of the finger image. If there are no suspicious features such as shadow occlusion, texture fracture or reflection abnormality in the image, the finger image is judged to be normal.

[0060] When the image is determined to be normal, the data in the integrated mobile hard disk 100 with a built-in fingerprint recognition module is unlocked, allowing the user to access the stored content.

[0061] Through image-assisted verification, even if a forged fingerprint passes the fingerprint comparison, as long as its image features are abnormal (such as no natural texture or the presence of artificial shadows), data unlocking cannot be completed, significantly improving the system's overall anti-counterfeiting and anti-attack capabilities.

[0062] Even if fingerprint matching is bypassed, as long as the image recognition mechanism is still in place, the integrated mobile hard disk 100 with a built-in fingerprint recognition module can still intercept illegal unlocking behaviors, thereby reducing the overall probability of the system being hacked.

[0063] In at least one embodiment of the present application, including:

[0064] The detection module 150 detects whether the fingerprint recognition module 110 is damaged, and if so, generates a backup unlocking instruction;

[0065] The backup unlocking module receives the backup unlocking instruction, receives an externally input unlocking password, verifies the unlocking password, and unlocks the stored data if the verification is successful.

[0066] Please refer to Figure 1-Figure 3 In this embodiment, when the system is powered on or ready to use, the detection module 150 first automatically detects the working status of the fingerprint recognition module 110. If the fingerprint recognition module 110 functions normally, data unlocking is performed according to the conventional fingerprint verification process. If the detection result shows that the module is damaged or unavailable (such as circuit abnormality, response timeout, module disconnection, etc.), a backup unlocking instruction is immediately generated.

[0067] The detection module 150 sends the backup unlocking instruction to the backup unlocking module. After the backup unlocking module is started, it prompts the user to enter a preset unlocking password externally. After receiving the input, the system compares the unlocking password with the pre-stored legal password.

[0068] If the entered password matches the stored password, the authentication is considered successful, and the encrypted data in the mobile hard drive is unlocked immediately, restoring normal access rights. If the verification fails, access is denied to ensure data security.

[0069] The backup unlocking path ensures that even if the fingerprint module is damaged, the user can still access data through the password, significantly improving the system's fault tolerance.

[0070] The fingerprint module of a mobile hard drive is easily damaged during frequent use, transportation, or external impact. If the fingerprint cannot be unlocked, the backup unlocking mechanism can be used as an emergency access method to prevent enterprises or individuals from losing data for a long time or permanently losing data due to hardware failure.

[0071] The backup unlocking channel is not opened at will. It is activated only when the fingerprint module is detected to be damaged, so as to avoid it becoming a security backdoor of the system. At the same time, the user still needs to enter the password and go through a complete verification process, thus maintaining security while providing a safe and controlled access path.

[0072] In at least one embodiment of the present application, the integrated mobile hard disk 100 with a built-in fingerprint recognition module has a mounting surface with a groove provided on the mounting surface. The fingerprint recognition module 110, the illumination module 120, and the image acquisition module 130 are all located in the groove. The illumination module 120 is arranged obliquely with respect to the image acquisition module 130, and the light emitted by the illumination module 120 intersects at the focus of the image acquisition module 130.

[0073] Please refer to Figure 1-Figure 3 In this embodiment, a mounting surface is provided on the housing of the integrated mobile hard disk 100 with a built-in fingerprint recognition module, and a groove area is opened on the mounting surface. The groove is used to embed the fingerprint recognition module 110, the lighting module 120, and the image acquisition module 130.

[0074] The illumination module 120 and the image acquisition module 130 are arranged at a certain tilt angle. The tilt setting makes the light projection direction form an angle with the image acquisition path. The light emitted by them converges at the focal position of the image acquisition module 130, ensuring that the image acquisition module 130 forms a clear, high-contrast finger image at its focal point, which helps to capture characteristic information such as skin texture and shadow details.

[0075] The user places his finger in the identification area, and the illumination module 120 irradiates light onto the finger. The light penetrates the skin tissue, creating a light-transmitting effect on the surface and inside of the finger. If it is a real finger, the image acquisition module 130 can capture the rosy, uniform, and continuous light-transmitting image naturally presented by the subcutaneous tissue layer. If the user's finger is covered with a fake fingerprint film (such as a silicone film), due to the edge gap or material blockage between it and the skin, a clear light-dark dividing line or shadow area will be formed in the image where the silicone film and the finger are attached. This unnatural light distribution will be identified as an image abnormality by the subsequent judgment module 140. If the image is normal (no dividing line), unlocking is performed; if it is abnormal, data access is blocked.

[0076] By utilizing the natural light transmittance of human skin to light (especially red light), the optical characteristics produced by real fingers under illumination are difficult to imitate. Any additional materials (such as fingerprint film) may block the light or form abnormal light and shadow. Therefore, even if the fingerprint image is forged and copied, the system can still identify the disguise through "light anomaly", greatly improving the security of fingerprint verification.

[0077] Compared with complex sensors such as infrared blood flow detection and temperature sensing, this solution can achieve a certain degree of fingerprint film judgment through only ordinary light and image recognition, enhancing the system's ability to identify fake fingerprints, fingerprint films, and image deception.

[0078] Due to the coordination of the illumination angle and the image acquisition focus, a translucent image with higher resolution and richer details can be formed. Once a fingerprint film is present, phenomena such as discontinuous light intensity distribution, blurred edges or abnormal reflections in the image can be accurately detected by the system, thereby achieving stronger resistance to counterfeiting.

[0079] When a user uses a fake fingerprint film to unlock the phone, obvious light boundaries or shadows will appear in the image, which will be judged as abnormal by the system. This effectively prevents fake fingerprint cracking and improves the security and reliability of the mobile hard drive in identity authentication.

[0080] It should be further explained that the illumination module 120 and the image acquisition module are both disposed in the same groove of the mobile hard disk housing. The illumination module 120 and the image acquisition module are staggered and arranged on the same plane. The illumination module 120 is located on one side or a corner of the image acquisition module.

[0081] The fingerprint recognition area is set in the center of the front of the two, and the user's finger is placed on this area.

[0082] The light source emission direction of the illumination module 120 is set to an inclination angle of 30° to 60° relative to the optical axis of the image acquisition module, preferably 45°.

[0083] The lens of the image acquisition module faces the fingerprint recognition area, with its optical axis perpendicular to the recognition surface, or slightly tilted inward by 5° to 15° to enhance focus stability.

[0084] The light emitted by the illumination module 120 intersects the optical axis of the image acquisition module at a focus, which is located at a depth of about 1 to 2 mm under the skin of the finger, which happens to be the area with the most significant light transmission effect.

[0085] The horizontal distance between the illumination module 120 and the image acquisition module is 10 to 20 mm, preferably 15 mm, and the groove depth is set to 3 to 6 mm, which can effectively fix the module and avoid external light interference. To prevent glare or reflection interference, the inner wall of the groove can be provided with an anti-reflection coating or a light-shielding slope.

[0086] The light and imaging angle converge at the same point, ensuring that the image captures the clearest part of the skin's light-transmitting area. The tilt angle prevents the lens from looking directly at the light source, reduces glare, and improves image contrast. 45° is a more common illumination angle that takes into account both the depth and uniformity of light penetration and is suitable for different skin tones and thicknesses.

[0087] The optical axis of the image acquisition module 130 is perpendicular to the fingerprint recognition surface or is set at a slight inclination angle of 5 to 15 degrees, so that the light emitted by the illumination module 120 converges at the focal position of the image acquisition module 130, thereby forming a uniform translucent image when the user's real finger is present, and forming an edge boundary feature when a forged fingerprint film is present.

[0088] In a second aspect, a control method for an integrated mobile hard disk 100 with a built-in fingerprint recognition module is provided, which is applied to the integrated mobile hard disk 100 with a built-in fingerprint recognition module as described in any one of the above. The method includes:

[0089] S101, obtaining the fingerprint recognition result after the fingerprint recognition module 110 recognizes;

[0090] S102, analyzing the fingerprint recognition result. If the fingerprint recognition result is a pass, receiving the finger image obtained by the image recognition module and sending the finger image to the judgment module 140;

[0091] S103 , the control judgment module 140 analyzes whether there is any abnormality in the finger image. If there is any abnormality, a fingerprint recognition error command is generated and sent to the outside.

[0092] Please refer to Figures 1-4 In this embodiment, the user places his finger on the fingerprint recognition area, and the system collects the fingerprint through the fingerprint recognition module 110 and compares it. If the comparison is successful, the system will not unlock immediately, but will enter the further verification stage.

[0093] The system activates the illumination module 120 and illuminates the finger at a specific angle. The light penetrates the skin tissue of the finger and produces a natural light transmission effect under the skin. At this time, if it is a real finger, the light will be scattered by the skin and vascular tissue, and will appear in the image as: a rosy, soft light transmission area, with a uniform light transition and no abrupt edges or strong contrast in the image.

[0094] If a user has a fake fingerprint film (such as a silicone film) on their finger, the material itself blocks light and there is an edge gap or inconsistent thickness between it and the skin, which will cause obvious light and dark boundaries, reflected stray light or shadows in the image. The system transmits the image to the judgment module 140, and the judgment module 140 uses the image processing algorithm to analyze whether there are: sudden changes in light intensity, light and shadow boundaries, abnormal non-physiological image features, etc. If the above abnormalities exist, the system believes that the finger image is disguised.

[0095] The judgment module 140 generates a fingerprint recognition error command, the system interrupts the unlocking process, and sends the fingerprint recognition error command to the external control logic or host.

[0096] By collecting images after light passes through the skin and utilizing the unique redness, translucency, and physiological scattering characteristics of human skin, a binding is established with the physical characteristics of the real user. It is difficult for counterfeit fingerprint films to reproduce this effect, especially when the light source and image are aligned, which will expose edge faults or irregular occlusions, thereby achieving highly reliable camouflage recognition capabilities.

[0097] By capturing the light and dark faults and light and shadow distortions where the silicone membrane fits against the skin, unnatural states can be accurately identified. In actual tests, the shadows, contour edges, and light intensity jumps in the image can be used as high-confidence camouflage criteria.

[0098] Coupling image judgment with fingerprint comparison results prevents fake fingerprints from deceiving the system through image disguise or a single feature.

[0099] In at least one embodiment of the present application, the method further includes:

[0100] The control judgment module 140 analyzes whether there is any abnormality in the finger image, and if it is normal, unlocks the stored data.

[0101] Please refer to Figures 1-4In this embodiment, the user places his finger on the recognition area of ​​the integrated mobile hard disk 100 with a built-in fingerprint recognition module. The system collects and compares the fingerprint through the fingerprint recognition module 110. If the fingerprint recognition result fails, the unlocking is rejected and the process ends.

[0102] If the fingerprint recognition result is passed, the image judgment process is entered, and the lighting module 120 is started to irradiate the finger with light at a specific angle. The skin and tissue of the real finger will pass through part of the light, forming a uniform, soft, and rosy translucent image. The image acquisition module images the finger in the recognition area and obtains this translucent finger image.

[0103] The collected finger image is sent to the judgment module 140, which analyzes the image's light distribution, brightness gradient, edge morphology and other features to determine whether there is any abnormality. If there are no signs of camouflage in the image, for example: no obvious light and dark faults, no irregular shadows, natural light transitions, and clear structures, the finger image is considered normal.

[0104] The system performs a data unlocking operation, and the user can access or transfer the encrypted data in the mobile hard disk.

[0105] After fingerprint recognition is passed, it is still necessary to pass the light-transmitting image judgment to unlock it, which is equivalent to setting a threshold for image authenticity and forming an effective anti-counterfeiting closed loop.

[0106] Using the light scattering and light transmittance characteristics of the skin as the judgment criteria, real fingers can form a continuous, uniform, and rosy image. Fake tools such as fingerprint films will show obvious abnormalities in the image due to their loose fit with the skin and light-blocking material. Therefore, the recognition accuracy is high and the security is strong, effectively reducing the risk of data leakage.

[0107] In at least one embodiment of the present application, the control judgment module 140 analyzes whether there is an abnormality in the finger image. If there is no abnormality, it generates a fingerprint recognition error command and sends the fingerprint recognition error command to the outside. The specific steps include:

[0108] S201, controlling the judgment module 140 to analyze the finger image, and the judgment module 140 to adjust the brightness of the finger image to generate a brightness-adjusted image;

[0109] S202: Determine whether there is a shadow area in the brightness area of ​​the brightness-adjusted image. If there is a shadow area, determine that an abnormality exists.

[0110] Please refer to Figure 1-Figure 5 In this embodiment, the real finger: after the light penetrates the skin, a rosy, uniform, and continuous brightness distribution is formed in the image, without obvious light faults, shadows, smooth, and no boundary mutation grayscale changes.

[0111] However, forged fingerprint films (such as silicone films) have bubbles, gaps or uneven thickness between them and the skin, and are prone to forming light and dark dividing lines, reflective areas or shadows in the image, broken grayscale curves or unnatural high-contrast edges.

[0112] The judgment module 140 first performs brightness adjustment or normalization on the finger image to eliminate the influence caused by ambient light fluctuations or hardware differences, and generates a brightness-adjusted image for subsequent analysis.

[0113] The system scans the grayscale changes in the brightness-adjusted image horizontally and vertically. If a sudden change area is found in the image (for example, the brightness drops suddenly from high to low, or vice versa), forming a clear boundary (fault), it means that the area is blocked by material or poorly fitted, which may be the edge of the fingerprint film.

[0114] Low-brightness pixel blocks or continuous shadows are screened in the bright areas of the image. If these shadows appear concentrated in the middle, edges, or irregularly structured areas of the image, it means that the light is blocked by foreign matter, which is inconsistent with the uniform brightness distribution formed by the natural scattering of light in real skin and is judged to be abnormal.

[0115] Use edge detection algorithms (such as Sobel or Canny operators) to extract image edges. If a regular, closed boundary contour is detected, similar to the outline of a fingerprint film, the image is judged to be artificially covered and is suspected of forgery.

[0116] The brightness distribution curve of the current image is compared with the preset normal sample image model. If it deviates from the set threshold range, it is marked as abnormal. Combining image statistics and machine learning algorithms can improve judgment accuracy.

[0117] If the determination module 140 determines that the image is abnormal, the system does not execute data unlocking and generates a fingerprint recognition error command for display.

[0118] In at least one embodiment of the present application, the step of determining whether there is a shadow area in the brightness area of ​​the brightness-adjusted image, and determining that an abnormality exists if a shadow area exists, further includes:

[0119] S203: Determine whether there is a shadow area in the brightness area of ​​the brightness-adjusted image. If there is no shadow area, determine that the image is normal.

[0120] Please refer to Figure 1-Figure 5 In this embodiment, after the fingerprint recognition module 110 passes the preliminary recognition, the system activates the illumination module 120 to illuminate the user's finger, the image acquisition module captures the finger image under illumination, and the judgment module 140 adjusts the brightness of the image to make the bright area in the image clearer and more distinguishable, thereby improving the accuracy of subsequent analysis.

[0121] Based on the brightness threshold, the system divides the brightness-adjusted image into brightness areas (highlight parts, usually translucent areas) and other low-brightness areas, and further detects whether there are local low-brightness blocks in the brightness areas. If a continuously distributed shadow block with obvious boundaries (low grayscale value area) is detected, it is judged that there is a shadow. The shadow is usually caused by the fingerprint film not being tightly attached, the material thickness being blocked, the edge being warped, etc., and appears in the image as abnormal forms such as black edges, dark lines, and broken light areas.

[0122] If there is a shadow area, it means that there may be a fake fingerprint film on the finger, or there is an obstruction, which is judged as abnormal.

[0123] If there is no shadow area, it means that the light transmission is uniform and the skin is not blocked. In this case, it is judged as normal and unlocking is allowed.

[0124] The fingerprint film cannot be completely adhered to the skin, and edge shadows are easily formed under light transmission. By adjusting the brightness of the shadow area in the image to judge the counterfeiting behavior, the use of counterfeit fingerprint films can be accurately identified.

[0125] Since only whether a shadow area exists is determined, computing resource consumption is low and determination efficiency is high.

[0126] The judgment module 140 can accurately identify abnormal dark areas from bright areas and has high sensitivity and robustness.

[0127] In at least one embodiment of the present application, the steps before obtaining the fingerprint recognition result after the fingerprint recognition module 110 recognizes include:

[0128] S301, detecting whether the fingerprint module can work normally. If it cannot work normally, it is determined to be damaged and a backup unlocking instruction is generated;

[0129] S302: Send the backup unlocking instruction to the backup unlocking module to control the backup unlocking module to execute the backup unlocking instruction. The backup unlocking module receives the unlocking password input from the outside and verifies the unlocking password with the stored password. If the verification is successful, the stored data is unlocked.

[0130] Please refer to Figure 1-Figure 7 In this embodiment, before the user starts the mobile hard disk or the system is ready to enter the authentication process, the system will automatically perform a fingerprint recognition module 110 test. The test content includes: whether the fingerprint recognition module 110 responds. If the test result is that it cannot work normally, the system determines that the fingerprint module is damaged.

[0131] The system automatically generates a backup unlocking instruction to wake up the backup verification channel. After receiving the backup unlocking instruction, the backup unlocking module starts the backup authentication mechanism and prompts the user to enter a set of preset unlocking passwords (such as the system initial setting or the user-bound master password). The user enters the password through the external interface.

[0132] The backup unlocking module compares the password entered by the user with the original password stored internally. If the verification is successful, it is considered a legitimate identity, and the system immediately performs an unlocking operation on the stored data, allowing the user to access the data content. If the verification fails, the system denies access and may trigger a security response.

[0133] As a physical authentication device, the fingerprint module may malfunction due to falling, aging, electrostatic shock, etc. Without a backup mechanism, users will not be able to access their data due to fingerprint module failure. The detection mechanism actively identifies fingerprint module anomalies and automatically switches to the backup verification path to ensure that the data remains available.

[0134] By setting up a backup password verification channel, users are provided with an emergency unlocking method, which greatly improves data recoverability.

[0135] In at least one embodiment of the present application, the method further includes:

[0136] S303. If the fingerprint module cannot work normally, detect whether the upper shell sensor and the lower shell sensor of the integrated mobile hard disk 100 with a built-in fingerprint recognition module are electrically connected. If not, it is determined to be a violent disassembly, and a unique verification password is generated. The unique verification password is sent to the bound user, and the stored password is replaced with the unique verification password.

[0137] Please refer to Figure 1-Figure 7 In this embodiment, when the system detects that the fingerprint recognition module 110 cannot work normally (such as no response, communication interruption, electrical failure, etc.) and is about to enter the backup unlocking process, physical protection detection is further initiated.

[0138] The system detects the electrical connection between the upper and lower housing sensors of the mobile hard drive. These two sensors are located at the junction of the upper and lower housings of the device. Under normal conditions, the housing is completely sealed and the sensors form a stable electrical connection. If the device is pried open or disassembled, the electrical connection will be disconnected.

[0139] If it detects that the upper shell and lower shell sensors are not electrically connected, the system determines that the device may have been subjected to violent disassembly or physical intrusion. Once it is determined to be violent disassembly, the system immediately generates a unique verification password. This password is unique and time-sensitive and is only used for this access process.

[0140] The system sends the unique password to the pre-bound user terminal (such as user App, email, management platform, etc.). At the same time, the system replaces the currently stored backup password with the unique verification password to prevent the original authentication information from continuing to be valid if it is stolen.

[0141] By detecting whether the upper and lower shells are disconnected and judging whether there is any physical damage, a security policy triggering mechanism driven by shell integrity is implemented, giving the system the ability to proactively detect risks.

[0142] Even if an attacker turns off or destroys the fingerprint module, the system can still determine whether it is an abnormal operation by disconnecting the shell. Once a violent disassembly is confirmed, the system will reject the original authentication path and must use a newly generated verification password, effectively cutting off the attack channel of accessing encrypted data through physical disassembly.

[0143] The technical features of the above embodiments can 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.

[0144] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. An integrated mobile hard disk with a built-in fingerprint recognition module, characterized in that: include: Fingerprint recognition module, used to recognize fingerprints and generate fingerprint recognition results; An illumination module, used to illuminate the finger within the fingerprint recognition area; An image acquisition module is used to acquire an image of the finger under illumination in the fingerprint area; The judgment module analyzes the fingerprint recognition result, and if the recognition is passed, determines whether there is any abnormality in the finger image, and generates a fingerprint recognition error command if there is any abnormality.

2. The integrated mobile hard disk with built-in fingerprint recognition module according to claim 1, characterized in that: The judging module determines that the finger image is normal, and then unlocks the stored data.

3. The integrated mobile hard disk with built-in fingerprint recognition module according to claim 1, characterized in that: include: a detection module, detecting whether the fingerprint recognition module is damaged, and if so, generating a backup unlocking instruction; The backup unlocking module receives the backup unlocking instruction, receives an externally input unlocking password, verifies the unlocking password, and unlocks the stored data if the verification is successful.

4. The integrated mobile hard disk with built-in fingerprint recognition module according to claim 1, characterized in that: The integrated mobile hard disk with a built-in fingerprint recognition module has a mounting surface with a groove formed on the mounting surface. The fingerprint recognition module, the illumination module and the image acquisition module are all located in the groove. The illumination module is arranged obliquely to the image acquisition module, and the light emitted by the illumination module intersects at the focus of the image acquisition module.

5. A control method for an integrated mobile hard disk with a built-in fingerprint recognition module, applied to the integrated mobile hard disk with a built-in fingerprint recognition module as claimed in any one of claims 1 to 4, characterized in that: The method comprises: Obtain the fingerprint recognition result after the fingerprint recognition module recognizes; Analyze the fingerprint recognition result. If the fingerprint recognition result is a pass, receive the finger image acquired by the image recognition module and send the finger image to the judgment module; The control judgment module analyzes the finger image to determine whether there is an abnormality. If there is an abnormality, a fingerprint recognition error command is generated and sent to the outside.

6. The control method of an integrated mobile hard disk with a built-in fingerprint recognition module according to claim 5, characterized in that: The method further comprises: The control judgment module analyzes whether there is any abnormality in the finger image. If it is normal, the stored data is unlocked.

7. The control method of an integrated mobile hard disk with a built-in fingerprint recognition module according to claim 5, characterized in that: The control judgment module analyzes whether there is an abnormality in the finger image, and if there is no abnormality, generates a fingerprint recognition error command, and sends the fingerprint recognition error command to the outside. The specific steps include: The control judgment module analyzes the finger image, and the judgment module adjusts the brightness of the finger image to generate a brightness-adjusted image; It is determined whether there is a shadow area in the brightness area of ​​the brightness-adjusted image, and if there is a shadow area, it is determined that an abnormality exists.

8. The control method of an integrated mobile hard disk with a built-in fingerprint recognition module according to claim 7, characterized in that: The step of determining whether there is a shadow area in the brightness area of ​​the brightness-adjusted image, and determining that an abnormality exists if a shadow area exists, further includes: It is determined whether there is a shadow area in the brightness area of ​​the brightness-adjusted image, and if there is no shadow area, it is determined to be normal.

9. The control method of an integrated mobile hard disk with a built-in fingerprint recognition module according to claim 5, characterized in that: The steps before obtaining the fingerprint recognition result after the fingerprint recognition module recognizes include: Check whether the fingerprint module can work normally. If it cannot work normally, it is judged to be damaged and a backup unlocking instruction is generated; The backup unlocking instruction is sent to the backup unlocking module to control the backup unlocking module to execute the backup unlocking instruction. The backup unlocking module receives the unlocking password input from the outside and verifies the unlocking password with the stored password. If the verification is successful, the stored data is unlocked.

10. The control method of an integrated mobile hard disk with a built-in fingerprint recognition module according to claim 9, characterized in that: The method further comprises: If the fingerprint module fails to work properly, the upper shell sensor and the lower shell sensor of the integrated mobile hard disk with a built-in fingerprint recognition module are detected to see whether they are electrically connected. If not, it is determined to be a violent disassembly, and a unique verification password is generated. The unique verification password is sent to the bound user, and the stored password is replaced with the unique verification password.

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