期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：34-36
出版社：TechScience Publications
摘要：In the industry the major challenge is to match the infrared face images to the optical face images. The problem arises of the variation between two images (modality gap). Gabor filters have proven themselves to be a powerful tool for facial feature extraction. An abundance of recognition techniques presented in the literature exploits these filters to achieve robust face recognition. However, while exhibiting desirable properties, such as orientation selectivity or spatial locality, Gabor filters have also some shortcomings which crucially affect the characteristics and size of the Gabor representation of a given face pattern. This is because of the infrared image captured by inferred imaging device and optical image captured by optical imaging device. To reduce the modality gap between infrared and optical images one method is use. Common feature discriminant analysis this method improves infrared-optical face recognition performance. This method provides extract the common features from heterogeneous face images, (infrared face image and optical face images).Second matching method is applied to resulting features to obtain final decision.
关键词：Gabor filter; Gabor wavelet; PCA; Principle;Gabor Filter; Eigen images
