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

• 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/18564/1/Classification%20Of%20Gender%20Using%20Global%20Level%20Features%20In%20Fingerprint%20For%20Malaysian%20Population%2024%20Pages.pdf; http://eprints.utem.edu.my/id/eprint/18564/2/Classification%20Of%20Gender%20Using%20Global%20Level%20Features%20In%20Fingerprint%20For%20Malaysian%20Population.pdf; http://eprints.utem.edu.my/id/eprint/18564/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=100896

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...