文章基本信息

标题：Biometrics Hand Geometry Using Discrete Cosine Transform (DCT)
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作者：Muzhir Shaban Al-Ani ; Muzhir Shaban Al-Ani ; Maha Abd Rajab 等
期刊名称：Science and Technology
印刷版ISSN：2163-2669
电子版ISSN：2163-2677
出版年度：2013
卷号：3
期号：4
页码：112-117
DOI：10.5923/j.scit.20130304.03
语种：English
出版社：Scientific & Academic Publishing Co.
摘要：Biometrics are used for identification of individuals based on their physical or behavioral characteristics. Biometrics have gained importance in today's world where information security is essential. Hand geometry is one of the most well-known biometrics that implemented in many verification systems with various feature extraction methods. Hand biometrics are extensively used for personal authentication. This paper is implemented to compute features extraction using two dimensional discrete cosine transform (2D-DCT). The evaluation of the system performance is calculated using matching metrics correlation.
关键词：Hand Geometric; DCT; Biometrics Recognition; Hand Biometrics; Correlation Matching