“Implementation of Neural Network for Face Recognition Using Gabor Feature Extraction”
Author(s):
Prachi Ashok Vetal, Dr.R.S.Pawase
ISSN:
2349-6002
Cite This Article:
“Implementation of Neural Network for Face Recognition Using Gabor Feature Extraction”International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 3 ,Page(s):148-152 ,August 2019 ,Available :IJIRT148581_PAPER.pdf
Keywords:
Face Recognition, Global facial features, Neural Network, ORL database
Abstract
Face recognition is a process of identifying and recognizing a person based on facial features. It is one of the more accepted and widely used biometric techniques today. However there are challenges regarding robustness, rotation-invariant, real-time face recognition technique. Few challenges such as changes in illumination, rotation of the face, different head positions etc. This study mainly consists of feature extraction, training the neural network and face recognition. The most convenient and unique features of the face are extracted in the feature extraction phase. Face recognition is done by trained neural network. The system is trained and tested on Olivetti Research Laboratory (ORL) database.
Article Details
Unique Paper ID: 148581

Publication Volume & Issue: Volume 6, Issue 3

Page(s): 148 - 152
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