Glass detection method and system for face recognition

Abstract

The invention discloses a glass detection method and system for face recognition. The glass detection method comprises the steps that glass region images are obtained from a face image to be detected; the glass region images are classified through a feature classifier, and a detection result is obtained; the feature classifier is generated in the mode that a preset number of partition regions are selected from a feature pool and used as feature selections; feature values of multiple partition regions corresponding to the feature selection of each sample are extracted, and the feature values of the multiple partition regions are combined to be used as descriptions of the samples; the multiple samples are trained through a support vector machine SVM classifier, so that a model of the feature classifier is obtained. According to the glass detection method and system for face recognition, the stability of the feature descriptions and the distinguishing capacity of the adopted feature classifier are high; besides, compared with full-image feature extraction, the classification feature difficulty is greatly reduced, the complexity of classification operation is lowered, and the operation speed and the detection speed are both increased.

Description

technical field [0001] The invention relates to the field of biological pattern recognition, in particular to a method and system for detecting glasses for face recognition. Background technique [0002] Since most people wear glasses, it is of great practical value to improve the performance of face recognition algorithms, face synthesis, and face cartoons by detecting whether glasses are worn in the face image and calculating the position and shape of the glasses. For example, in face recognition, if the position of glasses is detected in a face wearing glasses, a naked face without glasses can be obtained by removing the glasses. [0003] Due to the influence of factors such as the diversity of glasses shapes and image quality, there are many difficulties in glasses detection. Existing glasses detection can be realized by image processing or pattern recognition methods. Image processing methods include edge and color detection, etc. Since the glasses part has obvious hor...

AI Technical Summary

Problems solved by technology

[0006] The invention provides a glasses detection method and system for face recognition to solve the technical problems of low classification performance and low reliability caused by single feature extraction and single classifier when the existing glasses detection adopts the pattern recognition method

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