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
