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A Heuristic Technique for Performance Improvement of Fingerprint Based Integrated Biometric System

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Intelligent Computing Theories (ICIC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7995))

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Abstract

Integrated biometric system coherently connects multiple independent biometric systems to improve upon security and usability. But due to some involved factors the performance of overall system get degraded. This paper proposes a heuristic technique to improves the performance of fingerprint based integrated biometric system. One of the main advantage of the proposed technique is that it does not ask to modify the underline identification approach of the independent systems. The technique has been tested by constructing an integrated system with three commercial available independent biometric systems and the database used is IITK-Rural containing fingerprint images of 500 subjects collected over two sessions on three scanners. The proposed heuristics improves the equal error rate (EER) of integrated system from 21.78% to 15.67%.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, 208016, Kanpur, India

    Kamlesh Tiwari, Soumya Mandi & Phalguni Gupta

Authors
  1. Kamlesh Tiwari
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  2. Soumya Mandi
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  3. Phalguni Gupta
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Editor information

Editors and Affiliations

  1. Machine Learning and Systems Biology Laboratory, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. Electrical and Electronics Department, Polytechnic of Bari, Via Orabona 4, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  3. Faculty of Engineering, District University Francisco José de Caldas, Cra. 7a No. 40-53, Fifth Floor, Bogotá, Colombia

    Juan Carlos Figueroa

  4. School of Electrical, Computer and Telecommunications Engineering, The University of Wollongong, 2522, North Wollongong, NSW, Australia

    Prashan Premaratne

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Tiwari, K., Mandi, S., Gupta, P. (2013). A Heuristic Technique for Performance Improvement of Fingerprint Based Integrated Biometric System. In: Huang, DS., Bevilacqua, V., Figueroa, J.C., Premaratne, P. (eds) Intelligent Computing Theories. ICIC 2013. Lecture Notes in Computer Science, vol 7995. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39479-9_68

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  • DOI: https://doi.org/10.1007/978-3-642-39479-9_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39478-2

  • Online ISBN: 978-3-642-39479-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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