A Novel Approach for Palm Print Recognition Using Minutiae Points with BFOA

Biometric recognition is useful in user authentication as well as validation process. in the process of biometric recognition features from differ net biometric trait have been utilized so that maximum accuracy of system can be achieved. In this paper a novel approach of feature extraction from palm print has been implemented. Ridge and Bifurcation based approach has been implemented on the palm print samples for extraction of minutiae points. These minutiae points have been optimized using bacterial forging optimization approach that computes best points on the basis of fitness from search space area. On the basis of best evaluated featured recognition has been done so that maximum accuracy can be achieved. We show that a purposed method outperforms the state of art methods in by a large margin in terms of accuracy. The purposed methods can be implemented in various applications of biometric authentication and recognition.