Open AccessFace Recognition Using Location Averaging and Intensity’s Position Estimation Techniques for Human Authentication
Author(s) -
A. Parivazhagan,
Brintha Therese.A
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.10.20697
Subject(s) - facial recognition system , computer science , discrete cosine transform , artificial intelligence , biometrics , pattern recognition (psychology) , face (sociological concept) , position (finance) , computer vision , feature extraction , frequency domain , image (mathematics) , social science , finance , sociology , economics
Face recognition is an effective tool in the biometric human recognition system. In this competitive world, several techniques and systems are emerging to satisfy the needs of the face recognition system’s performance. To obtain the high-performance ratio novel techniques are combined and created a new face recognition system. Spatial domain techniques like Gray averaging technique, Location averaging technique and Intensity’s position estimation technique are united with frequency domain technique like Discrete Cosine Transform. Intensity’s position estimation is a novel feature extraction and classification technique proposed in this work. Three standard face databases are tested using this system. Accuracy and runtime are major parameters used to validate the obtained results. The maximum accuracy rate of about 86% is obtained.