{"title":"Fingerprint Verification System Using Minutiae Extraction Technique","authors":"Manvjeet Kaur, Mukhwinder Singh, Akshay Girdhar, Parvinder S. Sandhu","volume":22,"journal":"International Journal of Computer and Information Engineering","pagesStart":3405,"pagesEnd":3411,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/14355","abstract":"
Most fingerprint recognition techniques are based on minutiae matching and have been well studied. However, this technology still suffers from problems associated with the handling of poor quality impressions. One problem besetting fingerprint matching is distortion. Distortion changes both geometric position and orientation, and leads to difficulties in establishing a match among multiple impressions acquired from the same finger tip. Marking all the minutiae accurately as well as rejecting false minutiae is another issue still under research. Our work has combined many methods to build a minutia extractor and a minutia matcher. The combination of multiple methods comes from a wide investigation into research papers. Also some novel changes like segmentation using Morphological operations, improved thinning, false minutiae removal methods, minutia marking with special considering the triple branch counting, minutia unification by decomposing a branch into three terminations, and matching in the unified x-y coordinate system after a two-step transformation are used in the work.<\/p>\r\n","references":"[1] A. Jain, R. Bolle, and S. Pankanti, \"Biometrics Personal Identification in\r\nNetworked Society\", Kluwer Academic Publishers New York, Boston,\r\nDordrecht, London, Moscow, pp. 1-64, 2002.\r\n[2] A. K. Jain, F. Patrick, A. Arun, \"Handbook of Biometrics\", Springer\r\nScience+Business Media, LLC, 1st edition, pp. 1-42, 2008.\r\n[3] D. Maio, and D. Maltoni, \"Direct gray-scale minutiae detection in\r\nfingerprints\", IEEE Transactions Pattern Analysis and Machine\r\nIntelligence, vol. 19(1), pp. 27-40, 1997.\r\n[4] D. Maltoni, D. Maio, and A. Jain, S. Prabhakar, \"4.3: Minutiae-based\r\nMethods- (extract) from Handbook of Fingerprint Recognition\",\r\nSpringer, New York, pp. 141-144, 2003.\r\n[5] E. Hastings, \"A Survey of Thinning Methodologies\", Pattern analysis\r\nand Machine Intelligence, IEEE Transactions, vol. 4, Issue 9, pp. 869-\r\n885, 1992.\r\n[6] L. Hong, \"Automatic Personal Identification Using Fingerprints\", Ph.D.\r\nThesis, 1998.\r\n[7] L. Lam, S. W. Lee, and C. Y. Suen, \"Thinning Methodologies-A\r\nComprehensive Survey\", IEEE Transactions on Pattern analysis and\r\nmachine intelligence, vol. 14, no. 9, 1992.\r\n[8] L.C. Jain, U. Halici, I. Hayashi, S.B. Lee, and S. Tsutsui, \"Intelligent\r\nbiometric techniques in fingerprint and face recognition\", The CRC\r\nPress, 1999.\r\n[9] K. Nallaperumall, A. L. Fred, and S. Padmapriya, \"A Novel Technique\r\nfor Fingerprint Feature Extraction Using Fixed Size Templates\", IEEE\r\n2005 Conference, pp. 371-374, 2005.\r\n[10] P. Komarinski, P. T. Higgins, and K. M. Higgins, K. Fox Lisa,\r\n\"Automated Fingerprint Identification Systems (AFIS)\", Elsevier\r\nAcademic Press, pp. 1-118, 2005.","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 22, 2008"}