关键词: 热红外图像, 眼镜遮挡物, 核主成分分析, 人脸识别

Abstract: In infrared face recognition, eyeglasses which are the most common occluding object in facial images, have caused the loss of information of face eyes area and have seriously affected the effects of face recognition. Aiming at eyeglasses removal in face images, this paper proposes an algorithm, it detects the eyeglass regions in infrared test images and the detected eyeglass regions are replaced with an average eye template that is obtained from the average of all thermal face images without glasses. Then based on fusion of visual and thermal signatures and kernel principle component analysis, it reconstructs facial image without eyeglasses. It completes face recognition by using the classification. The experimental results show this method can easily increase face recognition accuracy and achieve good recognition effect, in the case of wearing glasses, in infrared face recognition.

Key words: thermal infrared image, glasses obstructions, kernel principle component analysis, face recognition