An Approach for Canny Edge Detection Algorithm on Face Recognition

The paper obtainable here is achallenge to use a canny edge detection algorithm for face recognition. Defined an edge as a set of related pixels that forms a margin between two disjoints regions, the automatic recognition of human faces grants an important challenge to the research community of pattern recognition. There are differences in the lighting, angles, facial expressions and poses, further set a problem to the face recognition research. This paper proposes a new approach, canny edge detection method for face recognition and image color space transformation, Gaussian Filter Coefficient and Hysteresis thresholding using two values for thresholding, High and Low. The proposed method works efficiently with images and performs better than all other edge detection algorithm.