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Hybrid Feature Extraction Technique for Face Recognition
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}
}
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.
