TWI737280B - Biometric data encryption device and method and information processing device using the method - Google Patents

Abstract

The present invention mainly discloses a biometric data encryption device and method. The system includes: an encryption unit and a feature comparison unit. In the case of applying the system of the present invention, after a biometrics (fingerprint) image is obtained by a biometrics acquisition and identification circuit, the biometrics image can then be subjected to a special encryption process. Moreover, when performing biometric matching and identity recognition, the system of the present invention provides a special decryption method for the biometric collection and recognition circuit to perform feature extraction on the encrypted biometric data, so that all of the feature matching and identity recognition The process does not expose the biometric image, and successfully prevents the theft of the user's biometric (for example, fingerprint) image data, thereby enhancing the high degree of protection of the user's biometrics.

Description

Biometric data encryption device and method and information processing device using the method

The present invention relates to the related fields of biometrics collection and encryption technology, and particularly refers to a biometrics data encryption device and method.

With the development of various smart terminals, touch display screens have become the main man-machine interface. Furthermore, as full-screen smart phones have gradually become the mainstream, under-screen optical biometric (fingerprint, palmprint) recognition devices have also been widely integrated in full-screen smart phones. Biometrics have the characteristics of uniqueness, privacy, and immutability. Therefore, all kinds of online financial services can complete the identification of each individual customer through the matching of biometrics.

Figure 1 shows a block diagram of a conventional biological feature collection and recognition device. As shown in FIG. 1, the conventional biometric (fingerprint) acquisition and identification device includes a photodetector circuit 2'and a biometric detection circuit 1', wherein the photodetector circuit 2'usually includes a plurality of photodiodes. The sensing unit 21' is integrated under the touch display screen 31' of the smart phone 3'. On the other hand, the biometric detection circuit 1'includes a fingerprint data collection module 11' and an application processor 12', wherein the fingerprint data collection module 11' includes at least a charge sampling unit, a signal amplification unit, and an analog Digital conversion unit.

In more detail, the application processor 12' includes a data processing unit 121', a storage unit 122', and an identification unit 123'. When creating a fingerprint image template, the data processing unit 121' further processes the fingerprint collection data sent by the fingerprint data collection module 11' into a fingerprint image, and then stores the fingerprint image in the storage unit 122' Take it as a fingerprint image template. When performing a fingerprint identification procedure, the data processing unit 121' extracts a plurality of fingerprint features from the fingerprint collection data sent by the fingerprint data collection module 11', and then the identification unit 123' extracts the plurality of fingerprint features and the fingerprint The image template performs a feature matching.

As can be seen from the foregoing description, the conventional technology usually stores the user's fingerprint image template in the storage unit 122'. However, this method has many security loopholes, which leads to the user's fingerprint image. There is a risk of leakage of the template. For example, a hacker can use a malicious program to intercept the fingerprint collection data sent by the fingerprint data collection module 11' or directly copy the fingerprint image template from the storage unit 122'. It is conceivable that after acquiring the fingerprint collection data and/or fingerprint image template of a specific individual user, you can use the online financial services of the specific individual user at will, such as: mobile payment, third-party payment, and Internet Bank etc. Furthermore, if the user's fingerprint data is further used in fields such as immigration identity verification, criminal records, etc., the severity will be raised to a higher level.

From the above description, it can be seen that the conventional biometric (fingerprint) collection and identification devices still have significant practical operational defects in terms of use security. Therefore, a new type of biometric data encryption device and method is urgently needed in the art.

The main purpose of the present invention is to provide a biometric data encryption device and method, which is applied to a biometric collection and identification circuit, so that the biometric collection and identification circuit can obtain a biometric (fingerprint) image. Then the biometric image is encrypted. Moreover, when performing identity recognition using biometric matching, it is necessary to use a convolutional neural network algorithm to perform feature extraction on the encrypted biometric data, so that the entire process of feature matching and identity recognition does not expose the biometric image. The user's biometric (for example: fingerprint) image data has been successfully prevented from being stolen, thereby enhancing the high degree of protection of the user's biometrics.

In order to achieve the above objective, the present invention proposes an embodiment of the biometric data encryption device, which is applied to a biometric data collection and identification circuit, wherein the biometric data collection and identification circuit includes a biometric data collection module and a biometric data collection module. Application processor, and the application processor has a data processing unit and a storage unit; the biometric data encryption device includes: an encryption unit integrated in the application processor; the data processing unit collects the biometric data After the biometric data collected by the module is further processed into a biometric image, the encryption unit sequentially performs an image boundary expansion process, an image segmentation process, and an image pixel matrix generation process on the biometric image. To obtain X×Y image pixel matrices; after further obtaining m×n data for composing an encrypted data according to the X×Y image pixel matrices, the encryption unit combines the encrypted data and the biological characteristics The image is integrated into an encrypted biometric data, and the The encrypted biometric data is stored in the storage unit; wherein, X, Y, m, and n are all positive integers, and m and n are all divisible by 8.

In one embodiment, the aforementioned biometric data encryption device of the present invention further includes: a feature comparison unit integrated in the application processor for accessing the storage unit to obtain the encrypted biometric data; When a feature comparison procedure is required, the feature comparison unit performs a feature extraction process on the encrypted biometric data and a biometric image to be compared to obtain an encrypted biometric and a biometric to be compared. , So as to further compare whether the biological characteristic to be compared matches with the encrypted biological characteristic.

In one embodiment, the aforementioned biometric data encryption device of the present invention further includes: a decryption unit integrated in the application processor; wherein, when it is necessary to perform a decryption program on the encrypted biometric data to obtain the In the case of a biometric image, the decryption unit accesses the storage unit to obtain the encrypted biometric data, and divides the encrypted biometric data into m×n/X×Y sub-data, so as to be based on the m×n/ The X×Y sub-data generates m×n/X×Y image blocks, and the m×n/X×Y image blocks form the biometric image.

In an embodiment, the biometric image that has completed the image boundary expansion processing has an image size of m×n, and includes a plurality of expanded pixels, and each of the expanded pixels has a grayscale value of 0. .

In an embodiment, the value of m is equal to the value of n, so that each of the image pixel matrix becomes a square matrix of image pixels.

In one embodiment, the encryption unit has: an image boundary expansion unit for performing the image boundary expansion processing on the biometric image; an image segmentation unit for completing the image boundary The expanded biological feature image executes the image segmentation process, thereby obtaining m×n/X×Y image blocks; a matrix generating unit, according to the m×n/X×Y image areas Block generating the X×Y image pixel matrices, and replacing -1 contained in each of the image pixel matrices with 0; An encrypted data generating unit for performing a matrix arrangement process on the X×Y image pixel matrix, the encrypted data generating unit further combines the m×n/X×Y image blocks with the X×Y image pixel matrices are multiplied by a corresponding position to obtain m×n pieces of the data used to compose the encrypted data, and then the encrypted data and the biometric image are integrated into the encrypted data. Biometric data.

In one embodiment, the decryption unit has: a data division unit for accessing the storage unit to obtain the encrypted biometric data, and divide the encrypted biometric data into m×n/X×Y sub Data; an image block reconstruction unit for generating m×n/X×Y image blocks according to the m×n/X×Y sub-data; and an image reconstruction unit for converting The m×n/X×Y pieces constitute the biometric image.

To achieve the above objective, the present invention also proposes an embodiment of the biometric data encryption method, which is applied to a biometric collection and identification circuit, wherein the biometric collection and identification circuit includes a biometric data collection module and An application processor, and the biometric data encryption method includes: an encryption program having the following steps: after a data processing unit of the application processor processes a biometric collection data into a biometric image, the data is sequentially The biometric image performs an image boundary expansion process, an image segmentation process, and an image pixel matrix generation process to obtain X×Y image pixel matrices; wherein X and Y are both positive integers; and according to the above The X×Y image pixel matrix further obtains m×n data to form an encrypted data, integrates the encrypted data and the biometric image into an encrypted biometric data, and stores the encrypted biometric data in In a storage unit of the application processor; where m and n are both positive integers, and both are divisible by 8.

In one embodiment, the aforementioned biometric data encryption method of the present invention further includes a feature comparison program, which has the following steps: Access the storage unit to obtain the encrypted biometric data, and perform a feature extraction process on the encrypted biometric data and a biometric image to be compared to obtain an encrypted biometric and a biometric to be compared; And compare whether the biological characteristics to be compared and the encrypted biological characteristics match each other.

In one embodiment, the biometric data encryption method of the present invention further includes a decryption program, which has the following steps: access the storage unit to obtain the encrypted biometric data, and divide the encrypted biometric data into m× n/X×Y sub-data, so that m×n/X×Y image blocks are generated according to the m×n/X×Y sub-data, and then the m×n/X×Y images The blocks constitute the biometric image.

The present invention also provides an information processing device, which has a biological feature detection device, the biological feature detection device has a biological feature collection and identification circuit; wherein, the biological feature collection and identification circuit includes a biological feature data collection module and an application Processor, and the application processor has a data processing unit, a storage unit, and the biometric data encryption device of the present invention as described above.

The present invention also provides an information processing device, which has a biological feature detection and collection device, the biological feature detection device has a biological feature collection and identification circuit; wherein, the biological feature collection and identification circuit includes a biological feature data collection module and a The application processor, and the application processor processes a biometric data collected from the biometric data collection module into a biometric image, and then executes the biometric data encryption method of the present invention as described above.

In a feasible embodiment, the information processing device may be a smart phone, a tablet computer, a notebook computer, an all-in-one computer, a smart watch, or an access control device.

<The present invention>

1: Biometrics acquisition and identification circuit

11: Biometric data collection module

12: Application processor

121: data processing unit

122: storage unit

123: encryption unit

1231: Image boundary expansion unit

1232: Image segmentation unit

1233: Matrix generation unit

1234: Encrypted data generation unit

124: Feature comparison unit

125: Decryption unit

1251: data segmentation unit

1252: Image block reconstruction unit

1253: Image reconstruction unit

2: Detector circuit

21: Optical diode sensing unit

3: smart phone

31: Touch display screen

Step S1: After a data processing unit of the application processor processes a biometric collection data into a biometric image, sequentially perform an image boundary expansion process, an image segmentation process, and a biometric image on the biometric image. Image pixel matrix generation and processing to obtain X×Y image pixel matrix

Step S2: According to the X×Y image pixel matrix, m×n data used to form an encrypted data are further obtained, the encrypted data and the biometric image are integrated into an encrypted biometric data, and the The encrypted biometric data is stored in a storage unit of the application processor

Step S3: Access the storage unit to obtain the encrypted biometric data, and perform a feature extraction process on the encrypted biometric data and a biometric image to be compared to obtain an encrypted biometric and a biometric image to be compared Biological characteristics

Step S4: Compare whether the biological characteristics to be compared and the encrypted biological characteristics match each other

<Learning>

1’: Biometric detection circuit

11’: Fingerprint data collection module

12’: Application processor

121’: Data Processing Unit

122’: Storage unit

123’: Identification unit

2’: Light detector circuit

21’: Photodiode sensing unit

3’: Smartphone

31’: Touch display screen

Figure 1 is a block diagram of a conventional biological feature collection and identification device; Figure 2 is a block diagram of a biological feature collection and identification device including a biological feature data encryption device of the present invention; Figure 3 is a biological feature collection and recognition device of the present invention Flow chart of characteristic data encryption method; Fig. 4 is a block diagram of an encryption unit of the biometric data encryption device of the present invention; Fig. 5 is a diagram of the 8-level Hadamard matrix of the present invention; Fig. 6 is another diagram of the 8-level Hadamard matrix of the present invention Figures; and Figure 7 is a block diagram of a decryption unit of the biometric data encryption device of the present invention.

In order to enable your reviewer to further understand the structure, features, purpose, and advantages of the present invention, drawings and detailed descriptions of preferred specific embodiments are attached as follows.

FIG. 2 shows a block diagram of a biometric collection and identification device including a biometric data encryption device of the present invention. As shown in FIG. 2, the biological feature collection and identification device includes a detector circuit 2 and a biological feature collection and identification circuit 1. For example, the detector circuit 2 is a photodetector circuit 2 including a plurality of photodiode sensing units 21, but it is not limited to this. Each of the photodiode sensing units 21 is integrated under the touch display screen 31 of the smart phone 3. On the other hand, the biological feature collection and identification circuit 1 includes a biological feature data collection module 11 and an application processor 12. For example, if the biometrics collection and identification circuit 1 is a fingerprint collection and identification circuit, the biometrics data collection module 11 based on it includes: a charge sampling unit, a signal amplification unit, and an analog-to-digital conversion unit. Moreover, the application processor 12 integrates a data processing unit 121, a storage unit 122, and a biometric data encryption device of the present invention. As shown in FIG. 2, the biometric data encryption device of the present invention includes an encryption unit 123, a feature comparison unit 124 and a decryption unit 125.

The present invention also provides a method for encrypting biometric data, and FIG. 3 shows a flowchart of the method for encrypting biometric data of the present invention. When creating a fingerprint image template, the data processing unit 121 further processes a fingerprint collection data sent by the fingerprint data collection module 11 into a fingerprint image, and then stores the fingerprint image in the storage unit 122 to As a fingerprint image template. At this time, the biometric data encryption device of the present invention starts to operate, so that the encryption unit 123 sequentially performs an image boundary expansion process, an image segmentation process, and an image pixel matrix on the biometric image. The generation process is to obtain X×Y image pixel matrices (that is, step S1 is performed). Among them, X and Y are both positive integers.

Fig. 4 shows a block diagram of the encryption unit of the biometric data encryption device of the present invention. As shown in FIGS. 2, 3, and 4, when step S1 is performed, the encryption unit 123 uses an image boundary expansion unit 1231 to perform an image boundary on the biometric image stored in the storage unit 122. The expansion processing makes the biometric image after the image boundary expansion processing has an image size of m×n. For example, the original image size of the biometric image is 198×198, and after the image boundary expansion processing, the biometric image has an image size of 200×200. That is, after the image boundary expansion processing, m (image width) and n (image length) are both positive integers that can be divisible by 8. It is supplemented that after the image boundary expansion processing, the biometric image will include a plurality of expanded pixels, and the grayscale value of each of the expanded pixels is all 0.

Next, the encryption unit 1231 uses one of the image segmentation units 1232 to perform an image segmentation process on the biometric image that has completed the image boundary expansion process, thereby obtaining m×n/X×Y image blocks . For example, the biometric image is divided into m×n/64 image blocks based on an 8×8 basic block. Continuing, the encryption unit 1231 generates a matrix of X×Y image pixels with a matrix generation unit 1233 of the m×n/X×Y image blocks. For example, 64 image pixel matrices are generated, and each of the image pixel matrices is an 8-order Hadamard matrix. Figure 5 shows a diagram of the 8-order Hadamard matrix. Further, FIG. 6 shows another diagram of the 8-order Hadamard matrix. Continuing, the encryption unit 1231 uses one of the encrypted data generating units 1234 to replace -1 contained in each of the image pixel matrixes with 0. In more detail, the encrypted data generating unit 1234 replaces -1 contained in a diagram of the 8th order Hadamard matrix shown in FIG. 5 with 0, and then obtains the 8th order Hadamard matrix shown in FIG. 6 .

Please refer to Figure 2, Figure 3 and Figure 4 repeatedly, after obtaining X×Y (for example: 64) image pixel matrices, the method flow is to execute step S2, so that the encryption unit 123 uses one of the encrypted data generation unit 1234 to The X×Y image pixel matrix performs a matrix arrangement process, and further divides the m×n/X×Y (for example, 64) image blocks and the X×Y (for example, 64) image blocks The image pixel matrix is multiplied by a corresponding position, thereby obtaining m×n data for composing an encrypted data. After that, the encryption unit 123 integrates the encrypted data and the biometric image into an encrypted biometric data. For example, the encryption unit 123 sorts 64 Hadamard matrices of order 8 to obtain 64 Hadamard matrices {H ₁ , H ₂ ,..., H ₆₄ } after sorting, and Record this sorting method K. Then, each of the image blocks having an image size of 8×8 is multiplied by each of the eighth-order Hadamard matrix according to the corresponding position, thereby obtaining 64 (ie, m×n) data. In this way, these 64 data can be combined into an encrypted data, and finally integrated with the biometric image into an encrypted biometric data.

It is worth noting that the aforementioned steps S1 and S2 are the encryption procedures of the biometric data encryption method of the present invention. Moreover, after the encryption process is completed, the biometric data encryption method of the present invention can then execute a feature comparison process. As shown in FIG. 2 and FIG. 3, when performing the feature comparison procedure, the feature comparison unit 124 accesses the storage unit 122 to obtain the encrypted biometric data (that is, step S3 is performed), and the encrypted biometric data The characteristic data and a biological characteristic image to be compared are respectively subjected to a characteristic extraction process to obtain an encrypted biological characteristic and a biological characteristic to be compared, so as to further compare whether the biological characteristic to be compared and the encrypted biological characteristic are matched with each other.

The present invention does not limit the type of algorithm used in the feature extraction process. In a feasible embodiment, a convolutional neural network (CNN) algorithm may be used, for example: Fully convolutional neural network algorithm (Fully convolutional neural network) network, FCN), region-based convolutional neural network (R-CNN), fast region-based convolutional neural network (Fast region-based convolutional neural network, fastR-CNN), Or add fast region-based convolutional neural network algorithm (Faster region-based convolutional neural network, faster R-CNN), or use masking region-based convolutional network algorithm (MaskR-CNN).

After using the Convolutional Neural Network (CNN) algorithm to complete the feature extraction process for the encrypted biometric data, the obtained biometric data may include &*#&($#(&*@#()()* %$()$%(*)$)%(. Simply put, after using the encryption unit 123 to integrate the encrypted data and the biometric image into the encrypted biometric data, the extracted biometric data is processed by the feature extraction process. The characteristic data will be displayed as garbled codes, which shows that the biometric data encryption device of the present invention successfully prevents the theft of the user's biometric (for example, fingerprint) image data.

Of course, the biometric data encryption device of the present invention can also restore (restore) the encrypted biometric data into the biometric image. As shown in FIG. 2, the biometric data encryption device of the present invention also has a decryption unit 124 integrated in the application processor 12. Figure 7 shows The block diagram of the decryption unit of the biometric data encryption device of the present invention. When executing the decryption process, the decryption unit 124 accesses the storage unit 122 with one of its data division units 1251 to obtain the encrypted biometric data, and divides the encrypted biometric data into m×n/X×Y sub-data. Further, the decryption unit 124 uses one of the image block reconstruction units 1252 to generate m×n/X×Y image blocks according to the m×n/X×Y sub-data. Finally, the decryption unit 124 uses one of the image reconstruction units 1253 to stitch the m×n/X×Y image blocks into the biometric image.

For example, the encrypted biometric data is divided into m×n/64 sub-data, wherein each of the sub-data contains 64 data, denoted as {S ₁ , S ₂ ,..., S ₆₄ }. Then, based on the sorting method K of the special record, use the following formula (1) to restore 64 data into 64 image blocks: G=<H _i S _i >-<H _i ><Si>…………. (1).

After obtaining the 64 image blocks, the image reconstruction unit 1253 will compose the m×n/X×Y into the biometric image.

In this way, the above has completely and clearly explained a biometric data encryption device and method of the present invention; and, from the above, it can be seen that the present invention has the following advantages:

(1) The biometric data encryption device and method disclosed in the present invention are applied to a biometrics acquisition and identification circuit, so that the biometrics acquisition and identification circuit can obtain a biometric (fingerprint) image. Then the biometric image is encrypted. Moreover, when performing identity recognition using biometric matching, it is necessary to use a convolutional neural network algorithm to perform feature extraction on the encrypted biometric data, so that the entire process of feature matching and identity recognition does not expose the biometric image. The user's biometric (for example: fingerprint) image data has been successfully prevented from being stolen, thereby enhancing the high degree of protection of the user's biometrics.

(2) Moreover, the present invention also discloses an information processing device, which has a biological feature collection and identification device, and has a biological feature collection and identification circuit; wherein the biological feature collection and identification circuit includes a biological feature data collection module And an application processor, and the application processor has a data processing unit, a storage unit, and the biometric data encryption device of the present invention as described above.

(3) The present invention also discloses another information processing device, which has a biological feature collection and identification device, and the biological feature collection and identification device has a biological feature collection and identification circuit; wherein, the biological feature collection and identification circuit includes a The biometric data collection module and an application processor, and the application processor processes a biometric data collected from the biometric data collection module into a biometric image, and then executes the biometric image of the present invention as described above Data encryption method.

(4) In a feasible embodiment, the information processing device may be a smart phone, a tablet computer, a notebook computer, an all-in-one computer, a smart watch, or an access control device.

It must be emphasized that the foregoing disclosures in this case are preferred embodiments, and any partial changes or modifications that are derived from the technical ideas of this case and are easily inferred by those who are familiar with the art will not deviate from the patent of this case. Right category.

In summary, regardless of the purpose, means and effects of this case, it is shown that it is very different from the conventional technology, and its first invention is suitable for practicality, and it does meet the patent requirements of the invention. I implore the examiner to check it out and grant the patent as soon as possible. Society is for the best prayer.

1: Biometrics acquisition and identification circuit

11: Biometric data collection module

12: Application processor

121: data processing unit

122: storage unit

123: encryption unit

124: Feature comparison unit

125: Decryption unit

2: Detector circuit

21: Optical diode sensing unit

3: smart phone

31: Touch display screen

Claims (8)

A biometric data encryption device applied in a biometric collection and identification circuit, wherein the biometric collection and identification circuit includes a biometric data collection module and an application processor, and the application processor has a data processing unit And a storage unit; the biometric data encryption device includes: an encryption unit integrated in the application processor; the data processing unit further processes a biometric data collected by the biometric data collection module into a biological After the feature image, the encryption unit sequentially performs an image boundary expansion process, an image segmentation process, and an image pixel matrix generation process on the biological feature image to obtain X×Y image pixel matrices; After the X×Y image pixel matrix further obtains m×n data used to form an encrypted data, the encryption unit integrates the encrypted data and the biometric image into an encrypted biometric data, and The encrypted biometric data is stored in the storage unit; where X, Y, m, and n are all positive integers, and m and n are all divisible by 8. The encryption unit has: an image boundary expansion unit, For performing the image boundary expansion process on the biometric image; an image segmentation unit for performing the image division process on the biometric image on which the image boundary expansion process has been completed, to obtain m×n/X×Y image blocks; a matrix generation unit generates the X×Y image pixel matrix according to the m×n/X×Y image blocks, and divides each of the The -1 contained in the image pixel matrix is replaced with 0; an encrypted data generating unit for performing a matrix arrangement process on the X×Y image pixel matrix, the encrypted data generating unit further converts the m× n/X×Y image blocks and the X×Y image pixel matrix are multiplied by a corresponding position, so as to obtain m×n data for composing the encrypted data, and then the The encrypted data and the biometric image are integrated into the encrypted biometric data. The biometric data encryption device described in item 1 of the scope of patent application further includes: a feature comparison unit integrated in the application processor for accessing the storage unit to obtain the encrypted biometric data; In the case that a feature comparison program is required, the feature comparison unit performs a feature extraction process on the encrypted biometric data and a biometric image to be compared to obtain An encrypted biological characteristic and a biological characteristic to be compared are obtained, so as to further compare whether the biological characteristic to be compared and the encrypted biological characteristic are matched with each other. The biometric data encryption device described in item 2 of the scope of patent application further includes: a decryption unit integrated in the application processor; wherein, when it is necessary to perform a decryption program on the encrypted biometric data to obtain the In the case of the biometric image, the decryption unit accesses the storage unit to obtain the encrypted biometric data, and divides the encrypted biometric data into m×n/X×Y sub-data, so that according to the m×n /X×Y sub-data generates m×n/X×Y image blocks, and then the m×n/X×Y image blocks are formed into the biometric image. The biometric data encryption device described in item 3 of the scope of patent application, wherein the decryption unit has: a data segmentation unit for accessing the storage unit to obtain the encrypted biometric data, and the encrypted biometric data Divided into m×n/X×Y said sub-data; an image block reconstruction unit for generating m×n/X×Y said image areas according to said m×n/X×Y sub-data Block; and an image reconstruction unit for composing the m×n/X×Y into the biometric image. A biometric data encryption method, which is applied to a biometric data collection and identification circuit, wherein the biometric data collection and identification circuit includes a biometric data collection module and an application processor, and the biometric data encryption method includes: An encryption program has the following steps: after a data processing unit of the application processor processes a biometric collection data into a biometric image, sequentially perform an image boundary expansion process and a picture on the biometric image Image segmentation processing and an image pixel matrix generation processing to obtain X×Y image pixel matrix; where X and Y are positive integers; according to the X×Y image pixel matrix, it is further obtained to form an encrypted Data of m×n data, the encrypted data and the biometric image are integrated into an encrypted biometric data, and the encrypted biometric data is stored in a storage unit of the application processor; where m and n are all positive integers, and all are divisible by 8; and Use an image boundary expansion unit to perform the image boundary expansion processing on the biometric image; use an image segmentation unit to perform the image segmentation processing on the biometric image that has completed the image boundary expansion processing , So as to obtain m×n/X×Y image blocks; a matrix generating unit is used to generate the X×Y image pixel matrix according to the m×n/X×Y image blocks, and The -1 contained in each image pixel matrix is replaced with 0; and after performing a matrix arrangement process on the X×Y image pixel matrix by an encrypted data generating unit, the encrypted data generating unit further The m×n/X×Y image blocks and the X×Y image pixel matrix are multiplied by a corresponding position, so as to obtain m×n data for composing the encrypted data, and then The encrypted data and the biometric image are integrated into the encrypted biometric data. The biometric data encryption method described in item 5 of the scope of patent application further includes a feature comparison program, which has the following steps: access the storage unit to obtain the encrypted biometric data, and the encrypted biometric data Perform a feature extraction process with a biological characteristic image to be compared to obtain an encrypted biological characteristic and a biological characteristic to be compared; and compare whether the biological characteristic to be compared matches the encrypted biological characteristic. An information processing device, which has a biological feature collection and identification circuit as described in any one of items 1 to 6 in the scope of the patent application. The information processing device described in item 7 of the scope of patent application is an electronic device selected by the group consisting of smart phones, tablet computers, notebook computers, all-in-one computers, smart watches, and access control devices.

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