Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/20579
Title: Analysis of minutia extraction techniques in fingerprint recognition.
Authors: Sudha Ponnarasi, S.
Rajaram, M.
jesudhaa77@yahoo.co.in
rajaramgct@rediffmail.com
Keywords: Biometrics
Bifurcation
Crossing numbers
Fingerprint autopsy
Neural network
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
Series/Report no.: Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)
Abstract: With the increasing emphasis on the automatic personal identification applications, biometrics especially fingerprint identification is the most reliable and widely accepted technique. A very important step in automatic fingerprint recognition system is to automatically and reliably extract minutia from the input fingerprint images. In this paper, we have evaluated two models of minutia extraction systems which are particularly very much different. It is proposed to use Minutiae Extraction using Crossing Numbers(MECN) and Minutiae Extraction using Midpoint Ridge Contour Method.(MEMRCM). Finally We have compared the performance of minutiae extraction algorithms using the number of minutiae in both the cases.
Description: International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
URI: http://dspace.unimap.edu.my/123456789/20579
Appears in Collections:Conference Papers

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