The quest of providing more secure identification system has led to rise in developing biometric systems. Biometrics such as face, fingerprint and iris have been developed extensively for human identification purpose and also to provide authentic input to many security systems in the past few decades. Dorsal hand vein pattern is an emerging biometric which is unique to every individual. In this paper, linear Hough transform is used to extract the features of query and data base images. K-nearest neighbor search is used to obtain best match between query image and database. The extraction of the vein patterns was obtained by morphological techniques. Noise reduction filters are used to enhance the vein patterns.

dorsal hand vein patterns, K-nearest neighbor search, morphological techniques, enhancement, noise reduction and Hough transform.