Research Article Open Access

A Comparative Analysis of Biometrics Types: Literature Review

Mohammad Al Rousan1 and Benedetto Intrigila1
  • 1 University of Rome Tor Vergata, Italy

Abstract

This study provides a thorough analysis of the various biometric types, including their advantages and disadvantages. It compares the different types and provides details about false acceptance and false rejection rates, along with their equations. Biometric screening systems are used to test and identify persons using their physiological or behavioral characteristics. Using only one recognition device is not suitable for identification systems. Multi-factor authentication can improve system security by using two or more kinds of security types, such as passwords and cards, but this is not an ideal security scheme. Passwords may be forgotten or inputted incorrectly, or the identification card may be stolen. To verify and classify people using their physiological attributes, biometric devices are used. These technologies can be classified as either behavioral or physiological biometrics. The former has many shortcomings, such as noisy data, inter-class similarity, intra-class variability, spoofing and universality, which reduce the system’s accuracy. The success rate of recognition and verification is, however, substantially improved by multimodal biometric sensing and processing systems, which leverage the detection or processing of two or more behavioral or physiological traits.

Journal of Computer Science
Volume 16 No. 12, 2020, 1778-1788

DOI: https://doi.org/10.3844/jcssp.2020.1778.1788

Submitted On: 9 September 2020 Published On: 24 December 2020

How to Cite: Al Rousan, M. & Intrigila, B. (2020). A Comparative Analysis of Biometrics Types: Literature Review. Journal of Computer Science, 16(12), 1778-1788. https://doi.org/10.3844/jcssp.2020.1778.1788

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Keywords

  • Biometric Types
  • Biometric Applications
  • Iris recognition
  • Fingerprint recognition
  • Facial Recognition
  • Biometric Verification
  • Biometric Identification