A face authentication method and device

Abstract

The invention discloses a method for human face authentication. The method comprises the following steps: the fisher coefficient of a target to be authenticated is calculated with the fisher eigenface method based on principal component analysis; the similarity matching degree corresponding to the fisher coefficient is calculated by utilizing a lookup table classifier; the similarity matching degree and a preset threshold are compared to get the authentication result. The invention also discloses a device for human face authentication. The device comprises a coefficient computing module, which computes the fisher coefficient of a target to be authenticated; an output computing module, which computes the similarity matching degree corresponding to the fisher coefficient with a lookup table classifier; and an authenticating module, which compares the similarity matching degree and the preset threshold to get the authentication result. The method and the device for the human face authentication of the invention, by introducing the lookup table classifier with more powerful expressing ability than a single threshold, can perform better classification on training samples, thereby improving the recognition rate of human face authentication and reducing the mis-detection possibility.

Description

technical field [0001] The invention relates to pattern recognition technology, in particular to a face authentication method and device. Background technique [0002] With the rapid development of computer technology, computer processing ability has been greatly improved, and many emerging technical means such as pattern recognition and motion detection have appeared. Among them, face detection, as a kind of pattern recognition technology, is one of the most convenient ways of human-computer interaction in computer vision system. [0003] Face detection refers to determining the position, size and other information of all faces in an image or image sequence. Face detection is not only a necessary Detection itself has important practical value in various fields such as intelligent human-computer interaction, intelligent video surveillance, video conferencing, and image and video retrieval. Face authentication refers to the use of face detection, facial feature point positi...

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Problems solved by technology

[0038] The PCA+Fisher authentication method shown in Figure 1 is better than the method based solely on PCA. However, in the process of determining the threshold T, it is necessary to assume that the Fisher coefficients after projection of the two types of face images conform to the Gaussian distribution. It is not always satisfied in the application, thus affecting the scope of application of the method; in addition, the amount of information that can be represented by a single threshold T is too small, and the threshold T alone often cannot accurately distinguish the two types of face images , thus affecting the accuracy of the authentication method, prone to false detection

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