I.J. Mathematical Sciences and Computing, 2015, 3, 9-19 Published Online September 2015 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijmsc.2015.03.02 Available online at http://www.mecs-press.net/ijmsc Analysis of Vascular Pattern Recognition Using Neural Network Navjot Kaur a , Dr. Amardeep Singh b a M.Tech Scholar, Punjabi University, Patiala (147002), India b Professor, Punjabi University, Patiala (147002), India Abstract Biometric identification using vein patterns is a recent technique. The vein patterns are unique to each individual even in twins and they don‟t change over age except their size. As veins are beneath the skin it is difficult to forge. BOSPHOROUS hand vein database is used in this work. Hand vein images are uploaded first and key points using Scale Invariant Feature Transform (SIFT) are extracted. Then the neural network is used for training these images. Finally neural network is used for testing these images to check whether the image used for testing matches with the existing database or not. Results are computed like False Acceptation Rate (FAR), False Rejection Rate (FRR), accuracy and error per bit stream. Index Terms: Neural Network, Scale Invariant Feature Transform, False Acceptation Rate, False Rejection Rate, Canny Edge Detector © 2015 Published by MECS Publisher. Selection and/or peer review under responsibility of the Research Association of Modern Education and Computer Science 1. Introduction Biometric is the term used in computer science to refer to the field of mathematical analysis of unique human features [2]. It refers to the identification of humans by their characteristics and traits. Traditionally authentication is based on token based identification systems for example Passport, driving license etc. and knowledge based system for identification such as a password, personal identification number etc. As threats and attacks are increasing day by day, so there is a need of reliable security mechanism. Traditional methods are not as efficient that can provide sufficient security, so biometric systems are created to overcome the limitations of traditional systems. Biometrics is the science of identifying a person using its behavioral and physiological features [2]. Biometrics systems are classified in 2 categories that are physical and behavioral. Physical systems are related to the shape of the body such as fingerprints, face recognition, DNA, vascular patterns, iris of the eye etc. Behavioral biometrics system are related to behavior of a person like voice, gait etc. Advantages of these systems are that they are difficult to copy or forge; hence these systems are more secure * Corresponding author. Tel.: E-mail address: