Performance Analysis of Edge Detectors for Palmprint Matching

SARAVANAN, CHANDRAN (2014) Performance Analysis of Edge Detectors for Palmprint Matching. In: International Conference on Advances in Computer and Electronics Technology - ACET 2014, 26 - 27 August, 2014, City University of Hongkong, Hongkong.

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The palmprint has been used for future prediction of human being. In the recent years the palmprint has been used for biometric applications as human verification. The palmprint has many lines of different sizes and directions. The lines are detected as edges using popular edge detecting algorithms such as Sobel, Prewitt, Roberts, Log, Zero-cross, and Canny. Thus, an analysis work has been performed on these popular edge detection algorithms to identify suitable edge detection algorithm which improves the palmprint matching process. The experiment results reveal that the canny edge detection algorithm identifies complete set of edges of various sizes compared with other popular edge detection algorithms. Moreover, the Sobel edge detection algorithm identifies the medium and as well as longer lines. Further, the Prewitt, Roberts, Log, and Zero-cross edge detection algorithms ignore the small lines and identifies only the main longer lines. Thus, the analysis work confirms the Canny and Sobel edge detection algorithms are preferable for edge detection algorithms.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Palmprint, Edge Detection, Biometrics.
Depositing User: Mr. John Steve
Date Deposited: 28 May 2019 09:26
Last Modified: 28 May 2019 09:26

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