Face Detection and Recognition Techniques: A Quick Overview
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2017 by IJCTT Journal | ||
| Volume-47 Number-2 |
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| Year of Publication : 2017 | ||
| Authors : Krati Sharma, Pushpa Choudhary | ||
| DOI : 10.14445/22312803/IJCTT-V47P118 |
Krati Sharma, Pushpa Choudhary "Face Detection and Recognition Techniques: A Quick Overview". International Journal of Computer Trends and Technology (IJCTT) V47(2):127-136, May 2017. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
Face recognition of an individual in a
crowd is a challenging issue that has received the
deserved attention during current scenario. This is a
trivial task for brain, but cumbersome to be imitated
artificially. The commonalities in faces does pose a
problem on various grounds but features such as skin
color, gender differentiate a person from the other.
This can be attributed to its various applications in
different fields such as content-based image retrieval,
video coding, video conferencing, crowd
surveillance, and intelligent human–computer
interfaces. There has been significant contribution to
the solution of this problem by various researchers.
This review paper is a study of various techniques
being used for face recognition. A face recognition
system includes three steps viz face detection, feature
extraction and face recognition. Various recognition
techniques and descriptions of representative
methods have also been covered. The majority of face
recognition methods have been developed by
scientists with a very technical background such as
biometry, pattern recognition and computer vision.
The concepts and practical issues relating to the
application of each step of a face recognition system
and their various strategies are given, without going
into technical details.
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Keywords
Face detection; Recognition; Neural
Network; Eigenfaces; Hidden Markov.