Face recognition method and device as well as mobile terminal

Abstract

The embodiment of the invention discloses a face recognition method and device as well as a mobile terminal. The method comprises the following steps of: pre-processing a target image, wherein the target image is to be judged whether to be a face image or not and the preprocessing step comprises geometrical normalization processing and illumination normalization processing; extracting face partial features by a partial filter set according to a Gabor algorithm; carrying out dimensionality reduction on the face partial features extracted by the partial filter set through a principal component analysis PCA and a linear distinguish analysis LDA; sending the face partial features subjected to the dimensionality reduction into a classifier to be matched and judging whether the target image is a face image or not. The face recognition method and device as well as the mobile terminal, provided by the embodiment of the invention, can focus on an embedded type application; the speed for extracting features is greatly improved, the storage amount is reduced, and the identification performance is better so that the face recognition method and device are suitable for an embedded type platform with a limited resource, such a mobile terminal and the like.

Description

technical field [0001] The present invention relates to the field of image processing, in particular to a face recognition method, device and mobile terminal. Background technique [0002] In recent years, with the development of computer vision technology and the promotion of mobile multimedia business application requirements, the smile recognition technology for embedded applications has been greatly developed, such as mobile phone face information encryption, mobile phone owner identification, mobile phone face power-on verification Application scenarios such as face recognition access control and other application scenarios all need to identify specific face targets. The experience level of these applications is closely related to the performance of face recognition methods. [0003] However, the inventor found in the process of implementing the present invention that there are obvious defects in the existing face recognition technology; [0004] Researchers at home an...

AI Technical Summary

Problems solved by technology

However, although the recognition performance of the above-mentioned face recognition technologies is good, the calculation is too complicated and the resource consumption is high, which is not conducive to the use of embedded platforms with limited resources such as mobile terminals.

Images