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Face recognition method and device

A face recognition and face image technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as the degradation of the recognition performance of the fixed weight scheme

Active Publication Date: 2013-06-05
HANVON CORP
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Problems solved by technology

[0005] The purpose of the present invention is to propose an adaptive feature weighting scheme to solve the problem that the recognition performance of the fixed weight scheme decreases when the performance of different features changes due to changes in recognition conditions, such as illumination changes and attitude changes.

Method used

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  • Face recognition method and device

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Embodiment Construction

[0016] In one embodiment of the present invention, firstly, the extraction of clustering features is performed on each face image of the training sample set, and unsupervised clustering (that is, samples of unknown categories), such as the K-means clustering method, is used to train The sample set is divided into K classes. Then, the identification features are extracted from the images of the training sample set, and the combinations of the optimal weights of the K groups of identification features are calculated for the K-type training samples. The optimal weight value can be obtained by measuring the maximum recognition rate, minimum equal error rate, and maximum pass rate of various samples. Next, when face recognition is performed, clustering features for judging cluster categories and multiple recognition features for identity recognition are extracted from the test face image. According to the clustering feature, the image to be recognized is divided into the category ...

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Abstract

The invention provides a face recognition method and a device. The face recognition method includes a clustering feature extraction step, a determining step, a recognition feature extraction step and a calculation step, wherein the clustering feature extraction step is used for carrying out the clustering feature extraction for a preprocessed face image; the determining step is used for determining a clustering feature category trained and acquired in advance, and the clustering feature category is matched with the face image according to the clustering features extracted from the face image; the recognition feature extraction step is used for extracting the P kinds of the recognition features on the preprocessed face image, wherein the P is a natural number which is greater than one; a calculation step is used for respectively calculating the P kinds of recognition features and the similarity of the corresponding features of the P kinds of recognition features in a face template registered in advance, and determining a best weight combination of the P kinds of the recognition features in the weight fusion according to the determined clustering feature category in the determining step in order to acquire the comprehensive similarity of the face image and the face template. The face recognition method can effectively improve face recognition performance.

Description

technical field [0001] The invention relates to the field of digital image processing and pattern recognition based on computer vision, in particular to a face recognition method and device. Background technique [0002] Biometric feature recognition technology is an effective technology for identification, and the fastest growing recently is face recognition technology and biometric feature recognition technology integrated with face recognition technology. [0003] In order to improve the performance of face recognition classifiers, multi-feature weighted fusion is commonly used at present. For different features, the recognition performance is not the same, and weighting is to fuse different features with different weights. The weight of each feature is determined by the characteristics of the feature itself (separability, recognition rate, etc.), and different fusion features correspond to different fusion weights. A larger weight is given to features with good recogni...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46
Inventor 黄磊彭菲
Owner HANVON CORP
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