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dc.contributor.authorSudha Ponnarasi, S.
dc.contributor.authorRajaram, M.
dc.date.accessioned2012-08-09T01:01:07Z
dc.date.available2012-08-09T01:01:07Z
dc.date.issued2012-02-27
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20579
dc.descriptionInternational 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.en_US
dc.description.abstractWith 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.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Man-Machine Systems (ICoMMS 2012)en_US
dc.subjectBiometricsen_US
dc.subjectBifurcationen_US
dc.subjectCrossing numbersen_US
dc.subjectFingerprint autopsyen_US
dc.subjectNeural networken_US
dc.titleAnalysis of minutia extraction techniques in fingerprint recognition.en_US
dc.typeWorking Paperen_US
dc.publisher.departmentSchool of Mechatronic Engineeringen_US
dc.contributor.urljesudhaa77@yahoo.co.inen_US
dc.contributor.urlrajaramgct@rediffmail.comen_US


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