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Review On Analysis and Detection of Palmlines Using Directional Line Detector
Jadhav Pooja S.*, Kudche Shivpriya A., Gondhali Sneha B., Patil A G.

Published in: International Journal of Scientific Review and Research in Engineering and Technology
Volume- 1, Issue-4, pp.158-163, Jun 2016
DPI :-> 16.10069.IJSRRET.2016.V1I4.158163.1325



Abstract
Palm print identification is a biometric based effective method for personal identification and authentication. This paper presents a new approach to palm line extraction and matching using directional line detectors. To extract the palm lines here the Canny edge detector is used. The number of detected lines from Canny edge detection is depends on the threshold value. To match the palm prints, the difference between two edge detectors is taken; this process is known as Hausdorff distance. On the basis of score of the hausdorff distance the matching is done. The experimental result shows the proposed approach.

Key-Words / Index Term
Hausdorff distance, Nearest neighbor (NN), Biometric, Palm line.

How to cite this article
Jadhav Pooja S.*, Kudche Shivpriya A., Gondhali Sneha B., Patil A G. , “Review On Analysis and Detection of Palmlines Using Directional Line Detector”, International Journal of Scientific Review and Research in Engineering and Technology, 1, Issue-4, pp.158-163, Jun 2016. DPI:16.10069.IJSRRET.V1.I4.1325