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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/15762

Title: Fingerprint Verification using Fingerprint Texture
Authors: Muhammad Khurram Khan
Keywords: Fingerprint, Security, Biometrics, Fingerprint
Issue Date: 2009
Publisher: 9th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), UAE, Dec. 14-17, 2009.
Abstract: In this paper, a new fingerprint verification algorithm is presented that improves matching accuracy by overcoming the shortcomings of previous methods due to poor image quality. It reduces multi-spectral noise by enhancing a fingerprint image to accurately and reliably determine a reference point using the orientation reliability and then extract a 129 × 129 block, making the reference point its center. From the 16 co-occurrence matrices, four statistical descriptors are computed. The experimental results have been analyzed using FVC testing protocol; the equal error rate (EER) is 0.32%. Furthermore, the comparison with other methods shows that the proposed method is more accurate and robust for reliable fingerprint verification.
URI: http://hdl.handle.net/123456789/15762
Appears in Collections:College of Computer and Information Sciences

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