Development of a fingerprint gender classification algorithm using fingerprint global features

• Main Authors: Abdullah, Siti Fairuz, Abdul Rahman, Ahmad Fadzli Nizam, Abal Abas, Zuraida, Mohd Saad, Wira Hidayat
• Format: Article
• Language: English
• Published: Science and Information Organization 2016
• Online Access: http://eprints.utem.edu.my/id/eprint/26800/2/PAPER_35-DEVELOPMENT_OF_A_FINGERPRINT_GENDER_CLASSIFICATION_ALGORITHM.PDF; http://eprints.utem.edu.my/id/eprint/26800/; https://thesai.org/Downloads/Volume7No6/Paper_35-Development_of_a_Fingerprint_Gender_Classification_Algorithm.pdf

In forensic world, the process of identifying and calculating the fingerprint features is complex and take time when it is done manually using fingerprint laboratories magnifying glass. This study is meant to enhance the forensic manual method by proposing a new algorithm for fingerprint global feat...