Facial-recognition algorithms: A literature review

Author:

Kaur Paramjit1,Krishan Kewal2ORCID,Sharma Suresh K.3,Kanchan Tanuj4ORCID

Affiliation:

1. Centre for Systems Biology and Bioinformatics, Panjab University, Chandigarh, India

2. Department of Anthropology, Panjab University, Chandigarh, India

3. Department of Statistics, Panjab University, Chandigarh, India

4. Department of Forensic Medicine and Toxicology, All India Institute of Medical Sciences, Jodhpur, India

Abstract

The face is an important part of the human body, distinguishing individuals in large groups of people. Thus, because of its universality and uniqueness, it has become the most widely used and accepted biometric method. The domain of face recognition has gained the attention of many scientists, and hence it has become a standard benchmark in the area of human recognition. It has turned out to be the most deeply studied area in computer vision for more than four decades. It has a wide array of applications, including security monitoring, automated surveillance systems, victim and missing-person identification and so on. This review presents the broad range of methods used for face recognition and attempts to discuss their advantages and disadvantages. Initially, we present the basics of face-recognition technology, its standard workflow, background and problems, and the potential applications. Then, face-recognition methods with their advantages and limitations are discussed. The concluding section presents the possibilities and future implications for further advancing the field.

Publisher

SAGE Publications

Subject

Law,Health Policy,Issues, ethics and legal aspects

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