Face recognition method and device

摘要

The present invention provides a face recognition method and device. The method includes: performing down-sampling of different sizes on an original face image; performing block partition processing on a down-sampled image and the original face image; extracting feature of each image block; performing similarity matching between the extracted feature of each image block and features of image blocks corresponding to a pre-registered face image to obtain a similarity of each image block; and obtaining a face image recognition result according to an obtained similarity between all the image blocks. According to the face recognition method and device, down-sampling of different sizes is performed on an original face image, which increases a capability of face image features to describe the face image; a face image recognition result is obtained according to a similarity between all the obtained image blocks, which increases an accuracy of face image recognition.

主权项

1. A face recognition method, comprising:
obtaining an original face image to be recognized; performing down-sampling on the original face image to obtain at least one down-sampled image whose size is different from a size of the original face image; performing block partition processing on each down-sampled image and the original face image to obtain at least two image blocks on which block partition processing is performed; extracting features of the image blocks on which block partition processing is performed to obtain features of the image blocks; wherein extracting features of the image blocks on which block partition processing is performed to obtain features of the image blocks comprises:
performing local binary pattern (LBP) descriptor extraction on each image block on which block partition processing is performed to obtain an LBP histogram of each image block; andextracting, according to the LBP histogram of each image block, a feature vector of each image block on which block partition processing is performed; performing similarity matching between the feature of each image block and features of image blocks corresponding to a pre-registered face image to obtain a similarity of each image block; and obtaining a face image recognition result according to an obtained similarity between all the image blocks.