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Multimodal biometric system based on information set theory and refined scores

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Abstract

This paper presents the development of a multimodal biometric system comprising a behavioral biometric called gait and a physiological biometric called hand vein pattern. Toward the unified feature extraction, we use the information set approach to represent the frame of a gait sequence by the feature called the effective gait information and the vein pattern image by the feature called the effective vein information using the Hanman–Anirban entropy function. Using these two features for the two modalities, we go in for the score level fusion which gives a limited accuracy. In order to improve the performance refined scores approach is proposed where in the original scores are refined by using the cohort (neighborhood) scores. The performance of the proposed approach is demonstrated on two databases.

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Authors and Affiliations

  1. Netaji Subhas Institute of Technology, Delhi University, New Delhi, Delhi, India

    Parul Arora, Sandeep Bhargava & Smriti Srivastava

  2. Indian Institute of Technology, New Delhi, Delhi, India

    Madasu Hanmandlu

Authors
  1. Parul Arora
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  2. Sandeep Bhargava
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  3. Smriti Srivastava
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  4. Madasu Hanmandlu
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Correspondence to Parul Arora.

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The authors declare that they have no conflict of interest.

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Communicated by V. Loia.

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Arora, P., Bhargava, S., Srivastava, S. et al. Multimodal biometric system based on information set theory and refined scores. Soft Comput 21, 5133–5144 (2017). https://doi.org/10.1007/s00500-016-2108-z

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  • DOI: https://doi.org/10.1007/s00500-016-2108-z

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