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State-of-the-Art Multi-trait Based Biometric Systems: Advantages and Drawbacks

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Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT (ICETCE 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1591))

Abstract

Biometric authentication refers to the process of confirming the identity of an individual based on his physiological or behavioral features. This authentication method has outperformed the traditional authentication method of using passwords, one time pin etc. and now emerged as an overwhelming method of authentication. The biometric-based authentication is categorized into Unimodal and Multimodal authentication out of which Multimodal authentication provides better results in terms of accuracy, intrusion avoidance and user acceptance. This paper discusses some state-of-the-art Multimodal authentication systems along with their advantages as well as disadvantages. Also, some future research directions have been provided based on these disadvantages. Lastly, the utilization of deep learning methods in current Multimodal systems has been discussed followed by the analysis of some state-of-the-art Multimodal systems based on fingerprint and face traits.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Punjabi University, Patiala, 147002, Punjab, India

    Swimpy Pahuja

  2. Yadavindra Department of Engineering, Punjabi University Guru Kashi Campus, Damdama Sahib, Talwandi Sabo, 151302, Punjab, India

    Navdeep Goel

Authors
  1. Swimpy Pahuja
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  2. Navdeep Goel
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Corresponding author

Correspondence to Swimpy Pahuja .

Editor information

Editors and Affiliations

  1. Aurel Vlaicu University of Arad, Arad, Romania

    Valentina E. Balas

  2. Myanmar Institute of Information Technology, Mandalay, Myanmar

    G. R. Sinha

  3. Indian Institute of Information Technology Kota, Jaipur, India

    Basant Agarwal

  4. Shobhit University, Gangoh, India

    Tarun Kumar Sharma

  5. SKIT, Jaipur, India

    Pankaj Dadheech

  6. SKIT, Jaipur, India

    Mehul Mahrishi

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Pahuja, S., Goel, N. (2022). State-of-the-Art Multi-trait Based Biometric Systems: Advantages and Drawbacks. In: Balas, V.E., Sinha, G.R., Agarwal, B., Sharma, T.K., Dadheech, P., Mahrishi, M. (eds) Emerging Technologies in Computer Engineering: Cognitive Computing and Intelligent IoT. ICETCE 2022. Communications in Computer and Information Science, vol 1591. Springer, Cham. https://doi.org/10.1007/978-3-031-07012-9_58

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  • DOI: https://doi.org/10.1007/978-3-031-07012-9_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-07011-2

  • Online ISBN: 978-3-031-07012-9

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