Facial-recognition algorithms: A literature review

Author: Kaur, Paramjit; Krishan, Kewal; Sharma, Suresh K.; Kanchan, Tanuj

Description: 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.

Subject headings: Algorithms; Automated Facial Recognition; Forensic Sciences; History; 20th Century; History; 21st Century; Humans; Workflow; Forensic science; Appearance-based methods; Biometrics; Computer-based facial recognition; Criminalistics; Human face; Knowledge-based methods

Publication year: 2020

Journal or book title: Medicine, Science, and the Law

Volume: 60

Issue: 2

Pages: 131-139

Find the full text: https://journals.sagepub.com/doi/abs/10.1177/0025802419893168

Find more like this one (cited by): https://scholar.google.com/scholar?cites=7121035492507623909&as_sdt=5,26&sciodt=0,26&hl=en

Serial number: 3566

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