%0 Journal Article %1 IJACSA.2012.030210 %A Sangeeta N Kakarwal, Ratnadeep R Deshmukh %D 2012 %J International Journal of Advanced Computer Science and Applications(IJACSA) %K Biometric; Chi Entropy; FFNN; SOM. square test; %N 2 %T Hybrid Feature Extraction Technique for Face Recognition %U http://ijacsa.thesai.org/ %V 3 %X 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.

@article{IJACSA.2012.030210, 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. }, added-at = {2014-02-21T08:00:08.000+0100}, author = {{Sangeeta N Kakarwal}, Ratnadeep R Deshmukh}, biburl = {https://www.bibsonomy.org/bibtex/28a087d5731263bbb54002ad19c26d66e/thesaiorg}, interhash = {055bafbffb60983c662b3c790e71e756}, intrahash = {8a087d5731263bbb54002ad19c26d66e}, journal = {International Journal of Advanced Computer Science and Applications(IJACSA)}, keywords = {Biometric; Chi Entropy; FFNN; SOM. square test;}, number = 2, timestamp = {2014-02-21T08:00:08.000+0100}, title = {{Hybrid Feature Extraction Technique for Face Recognition}}, url = {http://ijacsa.thesai.org/}, volume = 3, year = 2012 }