An Empirical Investigation of Human Identity Verification Methods

Authors

  • Bhavesh Kumar Jaisawal  Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Dr. Yusuf Perwej  Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Sanjay Kumar Singh  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Susheel Kumar  Assistant Professor, Department of Computer Science & Engineering, Ambalika Institute of Management & Technology, Lucknow, India
  • Jai Pratap Dixit  HoD (IT), Associate Professor, Ambalika Institute of Management & Technology, Lucknow, India
  • Niraj Kumar Singh  Assistant Professor, Department of Information Technology, Ambalika Institute of Management & Technology, Lucknow, India

DOI:

https://doi.org/10.32628/IJSRSET2310012

Keywords:

Biometrics System, Recognition Techniques, Biometric Databases, Face Recognition, Fingerprint, Hand Gesture, Gait Recognition.

Abstract

A recognition technique is essential in practically every industry in the current digital era. It has several advantages and may be used for security, identification, and authentication. The relevance of access control systems based on biometrics has grown in recent years since they have the ability to address the majority of the shortcomings of existing security systems. Automated biometric systems for human identification take a measurement of the body's "signature," compare it to a database, and make an application-specific determination. These biometric methods for personal verification and identification are based on physiological or behavioral traits that are usually recognizable, despite changing over time, such as fingerprints, hand geometry, the face, voice, lip movement, gait, and iris patterns. The purpose of this study is to conduct a thorough literature review in order to pinpoint the most well-known recognition techniques, applications, and obstacles.

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2023-02-28

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[1]
Bhavesh Kumar Jaisawal, Dr. Yusuf Perwej, Sanjay Kumar Singh, Susheel Kumar, Jai Pratap Dixit, Niraj Kumar Singh "An Empirical Investigation of Human Identity Verification Methods" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 10, Issue 1, pp.16-38, January-February-2023. Available at doi : https://doi.org/10.32628/IJSRSET2310012