Fingerprint Recognition Using Zone Based Linear Binary Patterns

Abstract

Many of the applications used to recognize humans are based on fingerprints. Fingerprint recognition is the most popular biometric technique widely used for person identification. This paper proposes a fingerprint recognition technique which uses the linear binary patterns for fingerprint representation and matching. An entire fingerprint image is divided into 9 equal sized zones. In each zone the linear binary patterns are identified and used for recognition. Neural network and Euclidean distance similarity measures are used for recognition. The proposed method is experimented using eight databases, comprising of 3500 samples in total. On an average accuracy of 94.28% and 91.15% are obtained for neural network and nearest neighbour classifiers respectively.