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Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
Home Archives Volume 5 Issue 3 ijcatr05031008

IJCATR Volume 5 Issue 3

A Review on Feature Extraction Techniques and General Approach for Face Recognition

Aakanksha Agrawal Steve Samson
10.7753/IJCATR0503.1008
keywords : face recognition, feature extraction, lip extraction, eye extraction

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In recent time, alongwith the advances and new inventions in science and technology, fraud people and identity thieves are also becoming smarter by finding new ways to fool the authorization and authentication process. So, there is a strong need of efficient face recognition process or computer systems capable of recognizing faces of authenticated persons. One way to make face recognition efficient is by extracting features of faces. Several feature extraction techniques are available such as template based, appearance-based, geometry based, color segmentation based, etc. This paper presents an overview of various feature extraction techniques followed in different reasearches for face recognition in the field of digital image processing and gives an approach for using these feature extraction techniques for efficient face recognition.
@artical{a532016ijcatr05031008,
Title = "A Review on Feature Extraction Techniques and General Approach for Face Recognition",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "5",
Issue ="3",
Pages ="156 - 158",
Year = "2016",
Authors ="Aakanksha Agrawal Steve Samson"}
  • Only Lip, Eye and Nose Features of face are proposed for Feature Extraction purpose.
  • Different Feature Extraction Techniques are discussed as implemented by authors previously.
  • The paper proposes a general approach for Face Recognition suitable for everyone.
  • Two accurate Performance Evaluation Parameters are suggested.
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