Human face recognition system

Abstract

The invention discloses a human face recognition system. The system comprises an on-site input module, a data input module, a microprocessor and an image acquisition module. The on-site input module comprises a photo storage module, a face scanning module, a feature storage module and a data adding module. The data input module includes an ID card recognition module, a networked reading module andan ID card photo storage module. The microprocessor is specifically composed of a power supply module, a backup power supply module, a camera monitoring module and a camera transmission module. The image acquisition module consists of an analysis comparison module and an alarm module. The design is reasonable and novel, facial photo input and ID card information input can be combined at the sametime, and meanwhile the accuracy of face recognition is high. The system has the advantages of achieving the effects of supplying backup power and recording surveillance videos and high practicabilityand is suitable for wide application and popularization.

Description

technical field [0001] The invention relates to a face recognition system, in particular to a face recognition system. Background technique [0002] Face recognition technology is a biometric-based identification method that uses the physiological or behavioral characteristics that humans possess and can uniquely identify their identity for identity verification. With the increasing application of human-computer interaction technology, face recognition technology is of great significance in the field of human-computer interaction. As one of the main research methods in the field of pattern recognition and machine learning, a large number of face recognition algorithms have been proposed. [0003] In the existing technology, the existing face recognition system has the technical problem of low recognition accuracy. At the same time, the face as a biometric recognition technology also has its weaknesses: 1. The face will change with the change of expression and age. 2. Exter...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the existing face recognition system has the technical problem of low recognition accuracy. At the same time, the face as a biometric recognition technology also has its weaknesses: 1. The face will change with the change of expression and age. Change; 2. External conditions, such as: illumination, angle, distance, etc. have a great influence on image formation; 3. Although the faces of different individuals are different, human faces are always similar

All of the above will affect the accuracy of face recognition.

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