Classical and modern face recognition approaches: a complete review

Human face recognition have been an active research area for the last few decades. Especially, during the last five years, it has gained significant research attention from multiple domains like computer vision, machine learning and artificial intelligence due to its remarkable progress and broad so...

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Published in	Multimedia tools and applications Vol. 80; no. 3; pp. 4825 - 4880
Main Authors	Ali, Waqar, Tian, Wenhong, Din, Salah Ud, Iradukunda, Desire, Khan, Abdullah Aman
Format	Journal Article
Language	English
Published	New York Springer US 01.01.2021 Springer Nature B.V
Subjects	Artificial intelligence Computer Communication Networks Computer Science Computer vision Cosmetics Data Structures and Information Theory Data transmission Domains Face recognition Fuzzy set theory Fuzzy sets Machine learning Multimedia Information Systems Object recognition Occlusion Special Purpose and Application-Based Systems Video data Computer vision Visual surveillance Face recognition Face identification Artificial intelligence Machine learning
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ISSN	1380-7501 1573-7721
DOI	10.1007/s11042-020-09850-1

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Abstract	Human face recognition have been an active research area for the last few decades. Especially, during the last five years, it has gained significant research attention from multiple domains like computer vision, machine learning and artificial intelligence due to its remarkable progress and broad social applications. The primary goal of any face recognition system is to recognize the human identity from the static images, video data, data-streams and the knowledge of the context in which these data components are being actively used. In this review, we have highlighted major applications, challenges and trends of face recognition systems in social and scientific domains. The prime objective of this research is to sum-up recent face recognition techniques and develop a broad understanding of how these techniques behave on different datasets. Moreover, we discuss some key challenges such as variability in illumination, pose, aging, cosmetics, scale, occlusion, and background. Along with classical face recognition techniques, most recent research directions are deeply investigated, i.e., deep learning, sparse models and fuzzy set theory. Additionally, basic methodologies are briefly discussed, while contemporary research contributions are examined in broader details. Finally, this research presents future aspects of face recognition technologies and its potential significance in the upcoming digital society.
AbstractList	Human face recognition have been an active research area for the last few decades. Especially, during the last five years, it has gained significant research attention from multiple domains like computer vision, machine learning and artificial intelligence due to its remarkable progress and broad social applications. The primary goal of any face recognition system is to recognize the human identity from the static images, video data, data-streams and the knowledge of the context in which these data components are being actively used. In this review, we have highlighted major applications, challenges and trends of face recognition systems in social and scientific domains. The prime objective of this research is to sum-up recent face recognition techniques and develop a broad understanding of how these techniques behave on different datasets. Moreover, we discuss some key challenges such as variability in illumination, pose, aging, cosmetics, scale, occlusion, and background. Along with classical face recognition techniques, most recent research directions are deeply investigated, i.e., deep learning, sparse models and fuzzy set theory. Additionally, basic methodologies are briefly discussed, while contemporary research contributions are examined in broader details. Finally, this research presents future aspects of face recognition technologies and its potential significance in the upcoming digital society.
Author	Iradukunda, Desire Tian, Wenhong Ali, Waqar Din, Salah Ud Khan, Abdullah Aman
Author_xml	– sequence: 1 givenname: Waqar orcidid: 0000-0003-0846-7281 surname: Ali fullname: Ali, Waqar email: sirwaqar_it@yahoo.com organization: School of Computer Science and Engineering, University of Electronic Science and Technology of China, Faculty of Information Technology, The University of Lahore – sequence: 2 givenname: Wenhong surname: Tian fullname: Tian, Wenhong organization: School of Information and Software Engineerng, University of Electronic Science and Technology of China – sequence: 3 givenname: Salah Ud surname: Din fullname: Din, Salah Ud organization: Data Mining Lab, School of Computer Science and Engineering, University of Electronic Science and Technology of China – sequence: 4 givenname: Desire surname: Iradukunda fullname: Iradukunda, Desire organization: School of Electronic Science and Engineering, University of Electronic Science and Technology of China – sequence: 5 givenname: Abdullah Aman surname: Khan fullname: Khan, Abdullah Aman organization: School of Computer Science and Engineering, University of Electronic Science and Technology of China
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Keywords	Computer vision Visual surveillance Face recognition Face identification Artificial intelligence Machine learning
Language	English
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PublicationSubtitle	An International Journal
PublicationTitle	Multimedia tools and applications
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Publisher	Springer US Springer Nature B.V
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Snippet	Human face recognition have been an active research area for the last few decades. Especially, during the last five years, it has gained significant research...
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SubjectTerms	Artificial intelligence Computer Communication Networks Computer Science Computer vision Cosmetics Data Structures and Information Theory Data transmission Domains Face recognition Fuzzy set theory Fuzzy sets Machine learning Multimedia Information Systems Object recognition Occlusion Special Purpose and Application-Based Systems Video data
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Title	Classical and modern face recognition approaches: a complete review
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