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Face Feature Analysis Essay

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Face Feature Analysis Based On Local Directional Number Pattern For Expression Recognition and Classification Sunil M. S Mr. Anoop C. V Student, M.Tech (DECS) Assistant Professor Department of E & C Engineering Department of E & C Engineering St Joseph Engineering College, St Joseph Engineering College, Mangaluru, D.K, Karnataka, India Mangaluru, D.K, Karnataka, India sunilms45@gmail.com anoopc@sjec.ac.in Abstract—Edge response in terms of direction and number will vary from person to person and expression to expression and can be used for face and expression recognition. Encoding these face features in a compact form is a must to obtain the discriminant information. This is a hot research topic and many works have already been done on the same. This paper proposes a novel algorithm based on Local Directional Number Pattern (LDN) for encoding edge responses and directional information of an image in an effective manner. Choice of appropriate edge detection method is very important for finding the absolute gradient magnitude for edges. Kirsch Compass Mask (KCM), a popular edge detection operator which uses the derivative approximation to find edges is used in this work. Face …show more content…

Hence, the pattern will be created by computing the edge response of the neighborhood using a Kirsch Compass Mask (KCM) and by taking the most positive and negative directions of those edge responses. The positive and negative responses provide valuable information on the structure of the neighborhood, as they reveal the gradient direction of bright and dark areas in the neighborhood [1]. For example, the top and bottom edges of the eyebrows and mouth have different intensity transitions. Thus, it is important to differentiate among them; LDN can accomplish this task as it assigns a specific code to each of them as shown in Fig.

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