BiometricsNo Access

RECOGNITION OF THE FACE IMAGES WITH OCCLUSION AND EXPRESSION

J. SHERMINA

Department of Information Technology, Kalasalingam University, Tamil Nadu, India

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and

V. VASUDEVAN

Department of Information Technology, Kalasalingam University, Tamil Nadu, India

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https://doi.org/10.1142/S021800141256006XCited by:5 (Source: Crossref)

Abstract

Face recognition, a kind of biometric identification, researched in several fields such as computer vision, image processing, and pattern recognition is a natural and direct biometric method. Face Recognition Technology has diverse potential over applications in the fields of information security, law enforcement and surveillance, smart cards, access control and more. Face recognition is one of the diverse techniques used for identifying an individual. Generally the image variations because of the change in face identity are less than the variations among the images of the same face under different illumination and viewing angle. Illumination and pose are the two major challenges, among the several factors that influence face recognition. After pose and illumination, the main factors that affect the face recognition performance are occlusion and expression. So in order to overcome these issues, we proposed an efficient face recognition system based on partial occlusion and expression. The similar blocks in the face image are identified and occlusion can be recovered using the block matching technique. This is combined with expression normalized by calculating the Empherical Mode Decomposition feature. Finally, the face can be recognized by using the PCA. From the implementation result, it is evident that our proposed method based on the PCA technique recognizes the face images effectively.

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