Multispectral face identification method, and system thereof

Abstract

The invention relates to a multispectral face identification method, and a system thereof. The system is characterized by comprising a multispectral imaging system, a color camera, a face identification module, a data storage module, a central control module, and a spectrometer. The multispectral imaging system outputs filmed face image data to the face identification module. The face identification module identifies the face image data according to information in a standard face database in the data storage module, and then outputs an identification result. The central control module controls image filming of the multispectral imaging system and identification of the face identification module. The multispectral imaging system comprises an objective lens, a liquid crystal adjustable optical filter, and a CCD camera. The liquid crystal adjustable optical filter is disposed in front of a CCD camera lens of the CCD camera, and the objective lens is disposed on a front end of the liquid crystal adjustable optical filter. In the method, a plurality of characteristics of the face image is extracted, thereby making a between-class distance in an identification process more obvious and separability of identification algorithm better which help to improve identification effects.

Description

technical field [0001] The invention relates to the field of biological feature recognition, in particular to a multispectral face recognition method and system thereof. Background technique [0002] As a kind of biometric identification technology, face recognition has the characteristics of directness, friendliness, naturalness and high acceptability, users have no psychological barriers, and image collection is convenient; Further analysis can obtain additional rich information such as gender, expression, age, etc., so this technology has been widely researched and applied. At present, face recognition technology is mainly used in video surveillance, access control, criminal investigation, document verification, etc. In addition, face recognition technology also has great application prospects in medicine, file management, video conferencing and other fields. [0003] At present, face recognition systems and related technologies are mainly face recognition based on ordin...

AI Technical Summary

Problems solved by technology

However, changes in factors such as facial expressions, makeup, glasses, and scattered hair on the face will cause differences in the face, and external factors such as illumination, camera angle of view, and camera radiation response will also cause huge changes in the obtained face image.

The face recognition technology based on the traditional imaging system is very sensitive to the uncertainty brought about by the change of various conditions because it only uses the spatial geometric characteristics of the observed object, and can only be satisfied when the external factors and internal factors are limited. effect, and the recognition performance will drop sharply in an uncontrolled environment, so it has insurmountable defects

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