Identification of a Person by Palmprint images based on Gabor Filter

Abstract

Multibiometrics can provide higher identification accuracy than single biometrics, so it is more suitable for some real-world personal identification applications that need high-standard security. Among various biometrics technologies, palm print identification has received much attention because of its good performance. Previous technique is based on multibiometrics by comprehensively combining the left and right palm print images. This framework integrated three kinds of scores generated from the left and right palm print images to perform matching score-level fusion. The first two kinds of scores were, respectively, generated from the left and right palm print images and can be obtained by any palm print identification method, whereas the third kind of score was obtained using a specialized algorithm. The proposed work is based on the Gabor filter where the gradient and magnitude of an image is calculated on a palmprint for Person Identification. In this there are two steps .They are enrollment and verification steps. In enrollment step first palm print acquisition, palm print preprocessing and the texture and feature extraction are done. The database is found based on the enrollment step .Next the same process is followed in verification step. Then matching of the query image with the database is verified .After matching the matched result is obtained. This method achieves better performance and obtained valid and accurate results than the other state of art methods.