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Performance Analysis of Log-Gabor Based Multimodal Systems and Its Fusion Techniques

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1035))

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Abstract

Single biometric modality may not be enough to achieve the best performance in real time applications. Multimodal biometric system provides high degree of recognition and more population coverage by combining different source of biometric modalities which in turn enhances the performance superiority and error rate shrinking properties. This work addresses the performance comparison in terms of verification rate of the unimodal and bimodal biometric systems holding face trait as the primary modality and Fingerprint, Iris, Palmprint and Handvein as secondary modality. The potential of the proposed verification system is judged by conducting empirical analysis on both the types of fusion strategies- pre and post classification. Overall gist of the paper summarizes few issues, (a) Which secondary physiological modality would be the optimal combination that gives the complimentary information along with the face trait, (b) impact and adoptability of fusion strategies at various levels of fusion to be adhered, (c) finally a brief overview that addresses face centric bimodal systems developed at all levels of fusion on both clean and noisy data.

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Authors and Affiliations

  1. Department of Computer Science, University of Mysore, Mysore, 560 007, India

    H. D. Supreetha Gowda & G. Hemantha Kumar

  2. #125 & 126, 1st Floor, Brigade Arcade, Brigade Metropolis, Mahadevapura Post, Garudacharpalya, Bengaluru, 560048, India

    Mohammad Imran

Authors
  1. H. D. Supreetha Gowda
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  2. Mohammad Imran
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  3. G. Hemantha Kumar
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Corresponding authors

Correspondence to H. D. Supreetha Gowda , Mohammad Imran or G. Hemantha Kumar .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Solapur University, Solapur, India

    Ravindra S. Hegadi

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Gowda, H.D.S., Imran, M., Kumar, G.H. (2019). Performance Analysis of Log-Gabor Based Multimodal Systems and Its Fusion Techniques. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1035. Springer, Singapore. https://doi.org/10.1007/978-981-13-9181-1_22

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  • DOI: https://doi.org/10.1007/978-981-13-9181-1_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9180-4

  • Online ISBN: 978-981-13-9181-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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