Thermal infrared face image recognition method under night vision environment

Abstract

The invention provides a thermal infrared face image recognition method under night vision environment, which is used for solving the problem that the existing face recognition method cannot cope withthe influence of actual non-control environment. The method comprises the following steps of: carrying out data modeling on a thermal infrared face image to establish a maximum data model; estimatingthe parameters of the maximum data model, adjusting the maximum data model to the Gaussian mixture model to obtain the adjusted thermal infrared Gaussian mixture face image; extracting the simplifiedisothermal feature set from the thermal infrared Gaussian mixture face image to reconstruct the face thermal feature image; calculating probabilistic nearest neighbor exponents between a pair of reconstructed thermal face images. According to the invention, the simplified isothermal characteristic set of the thermal characteristic face image is extracted and the similarity between the individualsis measured by using the probability proximity index, the shortcomings of the prior visible light face recognition technology are overcome, and the method is particularly suitable for face recognition under the night vision environment and greatly improves the anti-interference ability of the face recognition system.

Description

technical field [0001] The invention relates to the technical field of nighttime security monitoring in public spaces, in particular to a thermal infrared human face image recognition method in a night vision environment. Background technique [0002] At present, face recognition technology has been widely used in the fields of public security monitoring and identity authentication, which has greatly improved the efficiency of judicial evidence collection, criminal pursuit, identity authentication and public security management. However, the current face recognition system cannot cope with various challenges in the actual non-controlled environment. Changes in light, facial expression, posture, makeup, and fraudulent methods of replacing faces with photos have brought new challenges to current visible light face recognition. Lots of tough questions. [0003] In this context, thermal infrared face image recognition technology began to develop quietly. Thermal infrared face ...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the technical problem that the existing face recognition methods cannot cope with the influence of the actual non-controlled environment, the present invention proposes a thermal infrared face image recognition method in a night vision environment, which uses the simplified isothermal feature set of the thermal infrared face image to reconstruct the facial thermal The feature image, by calculating the probability neighbor index to obtain the recognition result, solves the problem of face recognition in the night vision environment, and greatly improves the recognition accuracy of the face recognition system under conditions such as illumination changes, disguise, and occlusion

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