Reduction of False Acceptance Rate Using Cross Validation for Fingerprint Recognition Biometric System
Abstract— In the field of biometric modality fingerprint is considered to be one of the most widely used method for individual identity. The fingerprint authentication is used in most application for security purpose. In the biometric systems, the input images are binarized and feature is extraction. The Minutiae matching in fingerprint identification is done by identifying the minutiae point of interest and their relationship. The validation testing in the proposed system using the method of K- fold cross validation by using two , a training set and test set of images to find the appropriate image that matches the input image ,increase the accuracy of recognition by reducing the false acceptance rate of the system.
Index Terms— Minimum Biometric, Binarization, Minutiae, Cross validation, False Acceptance Rate
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International Journal for Trends in Technology & Engineering © 2015 IJTET JOURNAL