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Human Face Recognition and Face Detection using Skin Colour Model

Author : Chetna Singh, Sarvesh Singh and Prashant Baheti

Pages : 2503-2505
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As one of the most successful applications of image analysis and understanding, face recognition has recently gained significant attention, especially during the past several years. Human face recognition play important roles in many applications such as video surveillance and face image database management. In this project, we have worked on face recognition techniques and developed algorithms for them. In face recognition the algorithm used is PCA (principal component analysis) using eigen faces in which we recognize an unknown test image by comparing it with the known training images stored in the database as well as display information of the person detected. This algorithms give different rates of accuracy under different conditions as experimentally observed. In face detection, we have developed an algorithm that can detect human faces from an image. We have taken skin colour as a tool for detection. This technique works well for Indian faces which have a specific complexion varying under certain range. We have taken real life examples and simulated the algorithms in MATLAB successfully.

Keywords: Face recognition, Face Detection, PCA,Ycbcr, Eigen Face, MATLAB

Article published in International Journal of Current  Engineering  and Technology, Vol.4,No.4 (Aug- 2014)



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