Novel Approach for Fingerprint Recognition Using Sparse Representation
نویسنده
چکیده
Novel Approach for Fingerprint Recognition Using Sparse Representation Rohit Thanki PhD Research Scholar, Faculty of Technology & Engineering, C U Shah University, Wadhwan City Email: [email protected] Komal Borisagar Assistant Professor, Department of Electronics & Communication, Atmiya Institute of Technology & Science, Rajkot Email: [email protected] ----------------------------------------------------------------------ABSTRACT------------------------------------------------------------This paper presents novel approach for fingerprint recognition using sparse representation provided by compressive sampling theory. In this paper, fingerprint feature is extracted in term of sparse measurements vector using Compressive Sampling (CS) theory framework. CS theory is provided unique solution to generation of sparse measurement vector of image based on measurement matrix and sparse coefficients. The sparse measurement vector of query fingerprint image is compared with sparse measurement vector of authenticate fingerprint image in store database. SSIM is used as matching score between query measurement vector values and authenticate measurement vector values of fingerprint. The experimental results show that proposed recognition algorithm is used for fingerprint feature extraction and matching.
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