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Proceedings of the Third International Conference on Soft Computing for Problem Solving pp 601–613Cite as

Fusion of Fingerprint and Iris Biometrics Using Binary Ant Colony Optimization

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 258))

Abstract

This paper presents an effective method for decision level fusion of fingerprint and iris biometrics using binary ant colony optimization (ACO) technique to identify the imposter instances. ACO is an evolutionary method. The selection of a proper set of optimization parameters for ACO is a multi-objective decision making optimization problem. Initially the matching scores for individual biometric classifiers are computed. Next, a ACO-based procedure is followed to simultaneously optimize the parameters and the fusion rules for fingerprint and iris biometrics. The proposed method has been found to perform satisfactorily on several benchmark datasets.

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Author information

Authors and Affiliations

  1. Department of CSE/IT, GIMT, Guwahati, India

    Minakshi Gogoi

  2. Department of CSE, Tezpur University, Assam, India

    Dhruba Kr. Bhattacharyya

Authors
  1. Minakshi Gogoi
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  2. Dhruba Kr. Bhattacharyya
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Corresponding author

Correspondence to Minakshi Gogoi .

Editor information

Editors and Affiliations

  1. Department of Paper Technology, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Millie Pant

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  3. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya Nagar

  4. Department of Applied Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

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© 2014 Springer India

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Gogoi, M., Bhattacharyya, D.K. (2014). Fusion of Fingerprint and Iris Biometrics Using Binary Ant Colony Optimization. In: Pant, M., Deep, K., Nagar, A., Bansal, J. (eds) Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 258. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1771-8_53

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  • DOI: https://doi.org/10.1007/978-81-322-1771-8_53

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1770-1

  • Online ISBN: 978-81-322-1771-8

  • eBook Packages: EngineeringEngineering (R0)

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