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...

詳細記述

書誌詳細
第一著者: Abdullah, Siti Fairuz
フォーマット: 学位論文
言語:英語
英語
出版事項: UTeM 2016
主題:
オンライン・アクセス: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