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Research Paper | Information Technology | Volume 4 Issue 11, November 2015 | Pages: 24 - 27 | India
An Approach for Canny Edge Detection Algorithm on Face Recognition
Abstract: 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.
Keywords: Canny edge detection algorithm, Gaussian Filter, Hysteresis thresholding
How to Cite?: A. D. Chitra, Dr. P. Ponmuthuramalingam, "An Approach for Canny Edge Detection Algorithm on Face Recognition", Volume 4 Issue 11, November 2015, International Journal of Science and Research (IJSR), Pages: 24-27, https://www.ijsr.net/getabstract.php?paperid=NOV151012, DOI: https://dx.doi.org/10.21275/NOV151012