Classification Of Gender Using Global Level Features In Fingerprint For Malaysian Population

A new approach of algorithm based on the Mark Acree’s theory, focusing on fingerprint global extracted features is proposed and implemented for enhancing gender classification method. This proposed method can automatically execute the ridge calculation process from the 25mm2 fingerprint and enhance...

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Bibliographic Details
Main Author:	Abdullah, Siti Fairuz
Format:	Thesis
Language:	English English
Published:	UTeM 2016
Subjects:	T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://eprints.utem.edu.my/id/eprint/18564/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100896 HF5351.M34 2016
Abstract	Abstract here

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