文章基本信息

标题：Development of a Fingerprint Gender Classification Algorithm Using Fingerprint Global Features
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作者：S. F. Abdullah ; A.F.N.A. Rahman ; Z.A.Abas 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2016
卷号：7
期号：6
DOI：10.14569/IJACSA.2016.070635
出版社：Science and Information Society (SAI)
摘要：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.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; fingerprint; gender classification; global features; algorithm