Electronic lock unlocking method based on finger vein recognition

Abstract

The invention discloses an electronic lock unlocking method based on finger vein recognition. The electronic lock unlocking method comprises the following steps that S1. fingerprint feature images of fingers are acquired, and the fingerprint feature images includes an image, a perspective vein image and a cuticle vein image; S2. the feature data of the fingerprint image, the perspective vein image and the cuticle vein image in the step S1 are extracted; S3. the feature data acquired in the step S2 are compared with pre-stored sample feature data, and the process jumps to step S4 when the two sets of data are consistent; S4. whether the fingers are living bodies is judged, and an authorization code is acquired if the fingers are living bodies; S5. an unlocking logic signal is analyzed according to the authorization code; and S6. unlocking is performed according to the unlocking logic signal. Unlocking is realized through verification of the fingerprint image, the perspective vein image and the cuticle vein image of a user so as to be secure and convenient.

Description

technical field [0001] The invention relates to the technical field of electronic locks, in particular to an electronic lock unlocking method based on finger vein recognition. Background technique [0002] Biometric authentication technology is now widely recognized and has been certified by national certification bodies and is widely used in various industries. Due to its lifelong invariance, uniqueness and convenience, fingerprint has almost become synonymous with biometric identification. Fingerprints are the uneven lines on the skin on the front of the end of a person's fingers. The lines are arranged regularly to form different grain types. The starting point, ending point, joint point and bifurcation point of the ridge line are called the minutiae feature points of the fingerprint. However, the existing fingerprint recognition has the following defects: (1) Some people or certain groups have few fingerprint features, which makes it difficult to image; Fingerprint i...

AI Technical Summary

Problems solved by technology

However, the existing fingerprint recognition has the following defects: (1) Some people or certain groups have few fingerprint features, which makes it difficult to image; Fingerprint imprints may be used to copy fingerprints, such as fingerprint sleeves and fingerprint films in an electrical appliance store; (3) Fingerprints are important personal information of users. In some applications, users are worried about information leakage, burying major security risks

There have been electronic locks that are unlocked by fingerprint identification. However, due to the above-mentioned defects in fingerprint identification, this unlocking method also has corresponding defects.

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