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On Performance Analysis of Biometric Methods for Secure Human Recognition

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Recent Innovations in Computing (ICRIC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 701))

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Abstract

In recent years, the necessity of secure and reliable human identification has led to increasingly fast growth in development and demand of biometric systems. Human recognition is the technique for identifying the person using their biological, chemical, and behavioral characteristics. Biometric system is a computer-based automatic system to establish identity of the users by using their biological and physiological traits. The most popular traits in modern applications are biological aspects of the prospective user for identification. Although using chemical traits of the human for identification is more accurate and reliable, but these are very difficult to achieve. In this paper, performance of automatic human recognition system is presented based on various parameters like users psychology, easiness of use, security, reliability, and market share. Furthermore, various analysis and comparison of different notable biometric techniques are discussed in tabular format. It has been observed that these systems provide authentication and recognition but security of these systems at template level is also one of the challenges for designers.

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Authors and Affiliations

  1. Gurukul Kangri Vishwavidalaya, Haridwar, India

    Annu Sharma & Shwetank Arya

  2. Gurukul Kangri Vishwavidalaya Campus, Dehradun, India

    Praveena Chaturvedi

Authors
  1. Annu Sharma
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  2. Shwetank Arya
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  3. Praveena Chaturvedi
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Corresponding author

Correspondence to Annu Sharma .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Pradeep Kumar Singh

  2. Central University of Jammu, Jammu and Kashmir, India

    Yashwant Singh

  3. Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar, India

    Maheshkumar H. Kolekar

  4. Department of Management Sciences, Indian Institute of Technology Delhi, New Delhi, Delhi, India

    Arpan Kumar Kar

  5. Department of Computer Engineering, National Institute of Technology Kurukshetra, Kurukshetra, Haryana, India

    Jitender Kumar Chhabra

  6. Department of Computer Science and Information Technology, Kwantlen Polytechnic University, Surrey, BC, Canada

    Abhijit Sen

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Sharma, A., Arya, S., Chaturvedi, P. (2021). On Performance Analysis of Biometric Methods for Secure Human Recognition. In: Singh, P.K., Singh, Y., Kolekar, M.H., Kar, A.K., Chhabra, J.K., Sen, A. (eds) Recent Innovations in Computing. ICRIC 2020. Lecture Notes in Electrical Engineering, vol 701. Springer, Singapore. https://doi.org/10.1007/978-981-15-8297-4_35

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  • DOI: https://doi.org/10.1007/978-981-15-8297-4_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-8296-7

  • Online ISBN: 978-981-15-8297-4

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