Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Fingerprint Liveness Detection From Single Image Using Low-Level Features and Shape Analysis

Author : B.S.S.Ram Naryan Reddy 1 M.Sri Vamsi 2 A.Santhosh Kumar 3 Dr .J. Subhashini 4

Date of Publication :14th April 2017

Abstract: Fingerprints are good source for individual identification by biometric authentication. Password based authentication systems are less secure than that of the fingerprint authentication where fingerprints and Iris are unique for every Individual.to reduce the fraud cases in biometric authentication ,we propose a static approach where we extract low level gradient features and texture analysis using dynamic score level integration algorithm.The proposed method is very much helpful to reduce the spoofing attacks in fingerprint authentication.

Reference :

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    [2] A.K. Jain, “Next generation biometrics,” in Department of Computer Science & Engineering, Michigan StateUniversity,Department of Brain & Cognitive Engineering, Korea University, 10 Dec 2009.

    [3] L. Ghiani, A. Hadid, G.L. Marcialis, and F. Roli, “Fingerprint liveness detection using binarized statistical image features,” in Biometrics:Theory, Applications and Systems (BTAS), 2013 IEEE Sixth InternationalConference on, Sept 2013.

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    [5] MojtabaSepasian, Cristinel Mares, and WamadevaBalachandran, “Livenessand spoofing in fingerprint identification: Issues and challenges,” in Proceedings of the 4th WSEAS International Conference on ComputerEngineering and Applications, Stevens Point, Wisconsin, USA, 2009, CEA’10,

    [6] M. Sandstrom, “Liveness detection in fingerprint recognition systems, master thesis.

    [7] Denis Baldisserra, Annalisa Franco, Dario Maio, and DavideMaltoni, “Fake fingerprint detection by odor analysis,” in Advances in Biometrics, David Zhang and AnilK. Jain, Eds.

    [8] P.V. Reddy, A. Kumar, S. Rahman, and T.S. Mundra, “A new antispoofingapproach for biometric devices,” Biomedical Circuits and Systems,IEEE Transactions .

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