Fingerprint and face integrated identity authentication system

Abstract

The invention belongs to a biometric system, and mainly provides a system for a fingerprint and face integrated identity authentication system. The identification system comprises an automatic conversion system which is connected with a fingerprint authentication system and a face authentication system, wherein the converting condition of the automatic conversion system is determined by the sum of threshold values corresponding to unsuccessful identification and successful identification in the fingerprint authentication system and the face authentication system; when the similarity value in the fingerprint authentication system is less than the threshold value corresponding to the successful identification, face identification is performed by automatically converting to the face authentication system through the automatic conversion system; and when the similarity value in the face authentication system is less than the threshold value corresponding to the successful identification, fingerprint identification is performed by converting to the fingerprint authentication system through the automatic conversion system. Comparatively, the system has the advantages of improvement on real-time, great improvement on the identification speed, wide application to the fields relating to a large number of people and no environment influence, difficult forge and impersonation, and high safety and reliability.

Description

technical field [0001] The invention belongs to a biometric identification system, which is mainly a fingerprint and face fusion identity authentication system which is applied in the fields of family planning and social security and involves a large number of people. Background technique [0002] Biometric technology refers to a technology that uses human physiological or behavioral characteristics for identity authentication through computers. Based on the inherent and unique physiological characteristics and behavioral characteristics of the human body, it uses computers for image processing or pattern recognition, and then identifies and authenticates personal identities. Compared with traditional identity authentication methods, this technology is safer, more reliable, and less likely to forge and counterfeit. [0003] At present, biometric technologies mainly include fingerprint recognition, facial recognition, iris recognition, palmprint recognition, vein recognition...

AI Technical Summary

Problems solved by technology

[0003] At present, biometric technologies mainly include fingerprint recognition, facial recognition, iris recognition, palmprint recognition, vein recognition, DNA recognition, voice recognition, behavioral feature recognition, etc. Among them, fingerprint recognition and facial recognition are the most widely used, but fingerprint recognition and facial recognition There are also inherent defects in identification, such as: fingerprint identification has the following defects: (1) the optical device of fingerprint identification has poor adaptability to environmental factors such as strong light, temperature, humidity, etc., and is easily limited by the optical path for poor quality and dry fingerprints. Can cause serious optical distortion

(2) There is a limit to the number of fingerprints entered. At present, the domestic fingerprint authentication system can only reach 100,000 fingerprints, which will be limited for fields with a large number of people, such as family planning and social security. According to incomplete statistics, using the current identification 5% - 15% of fingerprints cannot be entered or recognized by technology; at the same time, after fingerprints are entered, 10% - 30% of fingerprints will not be recognized due to accidental scratches and abrasions in life and work

The defects of facial recognition mainly include: (1) all human faces are similar in structure, which is unfavorable for using human faces to distinguish individuals; The images are very different. At the same time, facial recognition is also affected by the external environment such as lighting conditions, so it becomes extremely difficult to distinguish individuals through faces alone; (3) The existing facial recognition technology has a certain limit on the number of people to be recognized

To sum up, in fields involving a large number of people and complex environments such as family planning and social security, it is impossible to use a single fingerprint or face recognition to solve the identity authentication problem

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