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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Hybrid Feature Extraction Technique for Face Recognition
Digital Object Identifier (DOI) : 10.14569/IJACSA.2012.030210
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 3 Issue 2, 2012.
Abstract: This paper presents novel technique for recognizing faces. The proposed method uses hybrid feature extraction techniques such as Chi square and entropy are combined together. Feed forward and self-organizing neural network are used for classification. We evaluate proposed method using FACE94 and ORL database and achieved better performance.
Keywords: Biometric; Chi square test; Entropy; FFNN; SOM.
Sangeeta N Kakarwal and Ratnadeep R. Deshmukh, “Hybrid Feature Extraction Technique for Face Recognition” International Journal of Advanced Computer Science and Applications(IJACSA), 3(2), 2012. http://dx.doi.org/10.14569/IJACSA.2012.030210
@article{Kakarwal2012,
title = {Hybrid Feature Extraction Technique for Face Recognition},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2012.030210},
url = {http://dx.doi.org/10.14569/IJACSA.2012.030210},
year = {2012},
publisher = {The Science and Information Organization},
volume = {3},
number = {2},
author = {Sangeeta N Kakarwal and Ratnadeep R. Deshmukh}
}
