Identity recognition method based on eyebrow recognition

Abstract

The invention discloses an identity distinguishing method, which comprises the following steps: (1) selecting left eyebrow and right eyebrow to establish high-definition primitive eyebrow picture database in the computer through image gathering equipment; (2) extracting eyebrow region through polygon of random selected group of point in the primitive eyebrow image and generating 256 color pure eyebrow picture simultaneously; vectoring to generate eyebrow feature sequence database through Fourier transformation method and K-mean value algorithm; (3) loading the identified eyebrow image in the computer and extracting eyebrow region to generate identified feature sequence according to the step (2) method; (4) comparing the identified feature sequence with the recorded eyebrow feature sequence in the database through computer editing distance; affirming the most approximate record; regarding the corresponding eyebrow identity record as the optimum candidate personnel identity of identified eyebrow picture. The invention displays good stability and interference immunity.

Description

technical field [0001] The invention relates to an identity authentication method based on eyebrow recognition, which belongs to the technical field of electronic information. Background technique [0002] In modern society, with the rapid development of computer network technology and the rapid rise of e-commerce worldwide, information security has shown unprecedented importance, and identity authentication, as an important aspect of information security, has begun to receive more and more attention . Identity authentication is a necessary prerequisite to ensure the security of information service systems, and it is widely used in finance, national security, justice, e-commerce, e-government and other fields. At present, personal identification mainly relies on ID cards (such as ID cards, work permits, smart cards, computer logo cards and savings cards, etc.) and passwords, but these methods are inconvenient to carry, easy to lose, or damaged due to excessive or improper u...

AI Technical Summary

Problems solved by technology

Although face recognition is the most intuitive and acceptable identification method, due to the complex structure of the face, which can produce elastic deformation, the same face image exists under different conditions such as lighting, viewing angle, makeup and expression. Therefore, face recognition has a large amount of calculation and a high error rate in specific applications, and it is difficult to reach a practical level.

The main difficulty in iris recognition is the acquisition of iris images. Because it is usually difficult to capture usable images under normal conditions using a CCD camera, it is necessary to purchase expensive image acquisition equipment, which also has strict requirements on the subject. It is not easy to use Convenience, this brings great difficulties to the promotion of iris recogni

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