Face identification method and device based on Gabor binary mode

Abstract

The embodiment of the invention provides a face identification method and device based on the Gabor binary mode. The device comprises a threshold value determination module, a filtering processing module, a determination module, an obtaining module and an identification module, wherein identification factors of all first filtering response images in a training image set are obtained by the threshold value determination module with the Fisher criterion, and pixel point threshold values under scales in all directions are determined according to the identification factors; the filtering processing module conducts gamma wave filtering on the images to be processed, and preset second filtering response images under scales in all directions are obtained; the determination module determines LGBP binary system graphs of the second filtering response images according to the pixel point threshold values of the second filtering response images; feature vectors of the images to be processed are obtained by the obtaining module according to the LGBP binary system graphs; the similarity between the images to be processed and trained images is obtained by the identification module according to the feature vectors and the feature vector of any trained image in the trained image set, and identification results are obtained according to the similarity threshold values. By means of the face identification method and device, the capacity for identifying the face can be improved.

Description

technical field [0001] Embodiments of the present invention relate to image processing and pattern recognition technologies, and in particular to a face recognition method and device based on a Gabor binary pattern. Background technique [0002] Because face recognition technology is intuitive and irreproducible, it is widely used in security inspection systems, access control systems, attendance systems, intelligent robot systems, and virtual game systems. The basic concept is to detect the face area from an image or video containing a face; select and extract feature descriptors with strong face discrimination; and then design a classifier according to the selected features to realize face recognition. [0003] In the prior art, facial expression recognition and illumination detection methods based on two-dimensional multi-scale local Gabor Binary Patterns (Multi-scale Block Local Gabor Binary Patterns, MB-LGBP) features and illumination detection are used for face recogni...

AI Technical Summary

Problems solved by technology

[0004] However, the use of the above recognition technology for face recognition may cause the loss of image texture jump features, which will eventually lead to low identification ability

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