Development of a fingerprint gender classification algorithm using fingerprint global features

Abdullah, Siti Fairuz and Abdul Rahman, Ahmad Fadzli Nizam and Abal Abas, Zuraida and Mohd Saad, Wira Hidayat (2016) Development of a fingerprint gender classification algorithm using fingerprint global features. International Journal of Advanced Computer Science and Applications, 7 (6). pp. 275-279. ISSN 2158-107X

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Abstract

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 feature extraction for gender classification. The result shows that the new algorithm gives higher acceptable readings which is above 70% of classification rate when it is compared to the manual method. This algorithm is highly recommended in extracting a fingerprint global feature for gender classification process.

Item Type:	Article
Uncontrolled Keywords:	Fingerprint, Gender classification, Global features, Algorithm
Divisions:	Faculty of Information and Communication Technology
Depositing User:	Sabariah Ismail
Date Deposited:	24 Jun 2024 08:33
Last Modified:	24 Jun 2024 08:33
URI:	http://eprints.utem.edu.my/id/eprint/26800
Statistic Details:	View Download Statistic

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