Face recognition method and system fusing visible light and near-infrared information

Abstract

The invention provides a face recognition method and a face recognition system fusing visible light and near-infrared information. The face recognition method includes the following steps: extracting a first initial feature of each group of visible light face images of each person and a first initial feature of each group of near-infrared face images of each person in a sample personnel library, generating a feature set of the face images through selecting and fusing the first initial features, extracting a second initial feature of each group of visible light face images of each person and a second initial feature of each group of near-infrared face images of each person in a template personnel library, generating a second adjusting feature according to the feature set and the second initial features, extracting a third initial feature of each group of visible light face images and a third initial feature of each group of near-infrared face images of a person to be compared, generating a third adjusting feature according to the feature set and the third initial features, calculating distances between the third adjusting feature and each second adjusting feature, and judging a person with a second adjusting feature which is closest to the third adjusting feature to be the same person as the person to be compared. The face recognition method fusing the visible light and the near-infrared information can effectively improve the performance of face recognition.

Description

technical field [0001] The invention relates to the field of face recognition, in particular to a face recognition method for fusion of visible light and near-infrared information. Background technique [0002] Face recognition technology uses a computer to obtain face images and perform analysis and preprocessing, then extracts features that can effectively represent face images in a specific way, and finally uses machine learning to identify face images. Face recognition is widely used in human-computer interaction systems, security verification systems, verification of driver's licenses and passports, and identification of criminals. With the development of information and network technology in recent years, face recognition has become one of the most concerned issues in the field of pattern recognition. [0003] When the face image is in a friendly environment, the current face recognition method can achieve relatively accurate results, but when it includes changes in p...

AI Technical Summary

Problems solved by technology

[0004] Although near-infrared images are more robust to changes in light intensity, there are still many defects, such as the loss of some texture features during imaging, which makes it difficult to adapt to changes in expression and posture.

Although visible light images are sensitive to illumination changes, they have strong robustness in these aspects.

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