CN112804065A - Digital certificate authentication method based on hand shape recognition - Google Patents

Digital certificate authentication method based on hand shape recognition Download PDF

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CN112804065A
CN112804065A CN202110278590.4A CN202110278590A CN112804065A CN 112804065 A CN112804065 A CN 112804065A CN 202110278590 A CN202110278590 A CN 202110278590A CN 112804065 A CN112804065 A CN 112804065A
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hand shape
server
information
finger
data
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李晓坤
徐龙
刘清源
董潍赫
黄逸群
付文香
张心雨
陈伟良
赵瑞
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Xunao Shanghai Technology Co ltd
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    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3236—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions
    • H04L9/3239—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using cryptographic hash functions involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/107—Static hand or arm
    • G06V40/11—Hand-related biometrics; Hand pose recognition
    • H—ELECTRICITY
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    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H04L9/3066—Public key, i.e. encryption algorithm being computationally infeasible to invert or user's encryption keys not requiring secrecy involving algebraic varieties, e.g. elliptic or hyper-elliptic curves
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3226—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials using a predetermined code, e.g. password, passphrase or PIN
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    • H—ELECTRICITY
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/32—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials
    • H04L9/3263—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity authentication, data integrity or data verification, non-repudiation, key authentication or verification of credentials involving certificates, e.g. public key certificate [PKC] or attribute certificate [AC]; Public key infrastructure [PKI] arrangements

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Abstract

The invention provides a digital certificate authentication method based on hand shape recognition, which comprises the following steps: the server receives the user hand shape image information from the sensor, performs feature extraction through methods of hand shape image preprocessing, finger contour overlapping degree calculation and the like, and then performs threshold comparison on the hand shape similarity by using a hand shape recognition algorithm to obtain a hand shape recognition result. And if the result is within the threshold value, the server uses the private key to carry out ECC encryption, then the receiving end uses the public key of the server to carry out signature verification, and the decrypted information is verified and a matching result is returned. The receiving end returns information to the server and encrypts the information by using the public key, then the server obtains the data and decrypts the data by using the private key, and the hand shape recognition is successful.

Description

Digital certificate authentication method based on hand shape recognition
Technical Field
The invention relates to the fields related to biological feature recognition, digital image processing and data security, in particular to a digital certificate authentication method based on hand shape recognition.
Background
Because the requirements of people on information security and data security are continuously improved, the traditional identity recognition method cannot meet the security requirements of people, and the hand shape recognition technology which is a biological recognition technology has high stability, high security and high recognition precision, and can carry out identity verification without contact gradually takes a leading position in the field of identity verification, so that the problems in the field of network security and information security are generally concerned by people.
Disclosure of Invention
According to the defects of the existing hand shape identification method, the invention provides the digital certificate authentication method based on hand shape identification, and the method has the advantages of high stability, high safety, high identification precision and the like; compared with the traditional MD5 and RSA algorithms, the ECC encryption algorithm has higher security and shorter key, means that the ECC occupies less resources and has higher performance, is easier to expand, solves the problems of low decoding speed and large occupied bandwidth in the traditional asymmetric encryption process to a certain extent, and is more suitable for the characteristics of mobile internet.
The server receives user hand shape image information from the sensor, performs operations such as hand shape image preprocessing and the like, and performs feature extraction by methods such as calculating the superposition degree of finger contours, wherein a binomial curve fitting algorithm is used for calculating the contours of fitted fingers in the process of positioning the central axes of the fingers; then, comparing the similarity of the hand shapes with a threshold value by using a hand shape recognition algorithm to obtain a hand shape recognition result; if the result is within the threshold value, the server uses a private key to carry out ECC encryption, then the receiving terminal uses a public key of the server to carry out signature verification after obtaining the data result, the decrypted information is verified, a matching result is returned if the signature verification is successful, the receiving terminal returns the information to the server and uses the public key to encrypt, then the server uses the private key to decrypt after obtaining the data, and the hand shape identification is successful; and returning a matching result when the signature verification fails, returning information to the server by the receiving end, encrypting the information by using the public key, decrypting the data by using the private key after the server obtains the data, and failing in hand shape identification.
The data mentioned in the method is derived from the user hand shape image information data of the sensor.
The image graying and binarization of the hand shape to be recognized are main methods for preprocessing the hand shape image, the contour features of the hand shape are extracted by using the method, then the finger tip point and the finger heel point are positioned, the finger central axis line and the hand shape are positioned, and the feature extraction is carried out by calculating the superposition degree of the finger contour and other methods, wherein the contour of a fitted finger is calculated by using a binomial curve fitting algorithm in the process of positioning the finger central axis line;
Figure 302799DEST_PATH_IMAGE001
Figure 209444DEST_PATH_IMAGE002
Figure 267005DEST_PATH_IMAGE003
，
wherein
Figure 88462DEST_PATH_IMAGE004
Is an outline symbol of a single side of the finger,
Figure 827354DEST_PATH_IMAGE005
the contour of the finger on one side is long, and then the central axis of the finger is represented by a binomial curve fitting algorithm.
Then, the finger area is used for comparing the threshold value of the hand shape similarity by using the finger area for the finger similarity
Figure 480184DEST_PATH_IMAGE006
Wherein
Figure 669767DEST_PATH_IMAGE007
Sequentially representing the area of each finger in the registered hand shape,
Figure 40836DEST_PATH_IMAGE008
sequentially representing the area of each finger in the hand shape to be recognized.
Then, the specific formula for realizing hand shape recognition according to the hand shape similarity is as follows:
Figure 442474DEST_PATH_IMAGE009
Figure 949810DEST_PATH_IMAGE010
wherein
Figure 614753DEST_PATH_IMAGE011
And if J =1, indicating that the hand shape identification is consistent.
The encryption method of the present invention uses an ECC encryption algorithm by selecting an elliptic curve Ep (A), (B), (C), (D), (E), (a,b) And its base point G; selecting a private keyk（kSmaller than n, n being the order of G), the public key K =iscalculated using its base point GkG; generating a random integerr（rLess than n) to calculate the point R =rG; then comparing the hand shape with the consistent information and the coordinate value of the point Rx,yAsThe parameters are combined together in a series of operations to form a signature process. Then, the SHA (secure hash algorithm) value is calculated:
Figure 145223DEST_PATH_IMAGE012
and the ECC encryption processing process through the private key expressed in the method should satisfy the signature formula
Figure 288235DEST_PATH_IMAGE013
：
Figure 37361DEST_PATH_IMAGE014
Then, after the server receives the message information from the NAS, if the information about signature encryption is maliciously tampered in the transmission process, the signature verification process should satisfy the following formula:
Figure 672872DEST_PATH_IMAGE015
then extracting out
Figure 815272DEST_PATH_IMAGE013
And a Hash value; calculating points
Figure 824292DEST_PATH_IMAGE016
If it is not
Figure 306220DEST_PATH_IMAGE013
And the Hash value is correct and is equal to the coordinate of a point R (x, y) in the signature process, if H = Hash, the signature verification is successful, which indicates that the message information is not tampered, and the signature encrypted information is transmitted normally.
Drawings
Fig. 1 is a flow chart of a method for authenticating a digital certificate based on hand shape recognition according to an example of the present invention.
Detailed Description
As shown in fig. 1, the present invention provides a digital certificate authentication method based on hand shape recognition.
And S101, the server receives the hand shape image information of the user from the sensor.
S102, preprocessing a hand-shaped image, wherein the gray level and the binarization of the image of the hand to be recognized are the main methods for preprocessing the hand-shaped image, extracting the contour characteristics of the hand-shaped image by using the method, then positioning the tip points and the heel points, positioning the central axis of the fingers, positioning the hand-shaped image by calculating the coincidence degree of the finger contours and the like, wherein the contour of the fitted finger is calculated by using a binomial curve fitting algorithm in the process of positioning the central axis of the finger,
Figure 47386DEST_PATH_IMAGE001
Figure 552448DEST_PATH_IMAGE017
Figure 873200DEST_PATH_IMAGE018
。
s103, comparing the hand shape similarity by using the finger area for the finger similarity through a threshold value
Figure 147318DEST_PATH_IMAGE019
Wherein
Figure 200331DEST_PATH_IMAGE020
Sequentially representing the area of each finger in the registered hand shape,
Figure 189759DEST_PATH_IMAGE020
sequentially representing the area of each finger in the hand shape to be recognized.
Then, the specific formula for realizing hand shape recognition according to the hand shape similarity is as follows:
Figure 275002DEST_PATH_IMAGE021
Figure 731523DEST_PATH_IMAGE022
wherein
Figure 876809DEST_PATH_IMAGE023
And if J =1, indicating that the hand shape identification is consistent.
S104: if the result is within the threshold value, the server uses the private key to carry out ECC encryption, a secure Hash algorithm value Hash is applied, and the private keykRandom integer n, the order n of the base point G to combine to generate a signature:
Figure 356463DEST_PATH_IMAGE024
s105: and then the receiving end uses the public key of the server to sign and check the signature after obtaining the data result, and verifies the decrypted information. And checking whether the information is tampered. Wherein, the signature verification process should satisfy the following formula:
Figure 248327DEST_PATH_IMAGE015
then extracting out
Figure 494107DEST_PATH_IMAGE025
And a Hash value; calculating points
Figure 16486DEST_PATH_IMAGE016
If it is not
Figure 777244DEST_PATH_IMAGE025
And the Hash value is correct and is equal to the coordinate of a point R (x, y) in the signature process, if H = Hash, the signature verification is successful, which indicates that the message information is not tampered, and the signature encrypted information is transmitted normally.
S106: and returning a matching result if the signature verification is successful, and returning information to the server by the receiving terminal and encrypting the information by using the public key. And returning a matching result when the signature verification fails, and returning information to the server by the receiving end and encrypting the information by using the public key.
S107, the receiving end returns information to the server and encrypts the information by using the public key, and then the server decrypts the information by using the private key after obtaining the data, and the hand shape recognition is successful. Similarly, after the verification fails, the receiving end returns information to the server and encrypts the information by using the public key, the server decrypts the information by using the private key after obtaining the data, and the hand shape recognition fails.

Claims (6)

1. A digital certificate authentication method based on hand shape recognition is as follows:
the server receives user hand shape image information from the sensor, performs feature extraction by methods of finger shape image preprocessing, finger contour coincidence degree calculation and the like, wherein a binomial curve fitting algorithm is used for calculating the contour of a fitting finger in the process of positioning the central axis of the finger, and then a hand shape recognition result is obtained by performing threshold comparison on hand shape similarity by using a hand shape recognition algorithm; if the result is within the threshold value, the server uses a private key to carry out ECC encryption, then a receiving terminal uses a public key of the server to carry out signature verification after obtaining the data result, the decrypted information is verified, a matching result is returned if the signature verification is successful, the receiving terminal returns the information to the server and uses the public key to encrypt, then the server uses the private key to decrypt after obtaining the data, and the hand shape identification is successful; and returning a matching result when the signature verification fails, returning information to the server by the receiving end, encrypting the information by using the public key, decrypting the data by using the private key after the server obtains the data, and failing in hand shape identification.
2. The method of claim 1, wherein said data is derived from image information data of a hand shape of a user of said sensor.
3. The method as claimed in claim 1, wherein the image graying and binarization of the hand shape to be recognized are the main methods for preprocessing the hand shape image, and are used for extracting the contour features of the hand shape and calculating the contour of the fitted finger by using a binomial curve fitting algorithm in the process of positioning the central axis of the finger
Figure DEST_PATH_IMAGE001
Figure 417867DEST_PATH_IMAGE002
Figure DEST_PATH_IMAGE003
Wherein
Figure 393520DEST_PATH_IMAGE004
Is an outline symbol of a single side of the finger,
Figure DEST_PATH_IMAGE005
the contour of the finger on one side is long, and then the central axis of the finger is represented by a binomial curve fitting algorithm.
4. The method of claim 1, wherein the ECC encryption process performed by the private key satisfies the following formula:
Figure 917428DEST_PATH_IMAGE006
。
5. the method of claim 1, wherein the information about signature encryption is maliciously tampered during transmission, and the signature verification process satisfies the following formula:
Figure DEST_PATH_IMAGE007
。
6. the method of claim 1, wherein the receiving end performs signature verification with the public key of the server after obtaining the data result to obtain the decrypted original data and information.
CN202110278590.4A 2021-03-16 2021-03-16 Digital certificate authentication method based on hand shape recognition Pending CN112804065A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103425979A (en) * 2013-09-06 2013-12-04 天津工业大学 Hand shape authentication method
CN104580143A (en) * 2014-11-09 2015-04-29 李若斌 Security authentication method based on gesture recognition, terminal, server and system
CN107733636A (en) * 2016-08-11 2018-02-23 中国电信股份有限公司 Authentication method and Verification System
CN110414200A (en) * 2019-04-08 2019-11-05 广州腾讯科技有限公司 Auth method, device, storage medium and computer equipment

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103425979A (en) * 2013-09-06 2013-12-04 天津工业大学 Hand shape authentication method
CN104580143A (en) * 2014-11-09 2015-04-29 李若斌 Security authentication method based on gesture recognition, terminal, server and system
CN107733636A (en) * 2016-08-11 2018-02-23 中国电信股份有限公司 Authentication method and Verification System
CN110414200A (en) * 2019-04-08 2019-11-05 广州腾讯科技有限公司 Auth method, device, storage medium and computer equipment

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孟春岩等: "安全的数字签名中的算法分析", 《福建电脑》 *
李洋等: "基于手指轮廓的手形识别算法", 《智能系统学报》 *

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Application publication date: 20210514