The week's pick
Reseach Article
An approach to Illumination and Expression Invariant Multiple Classifier Face Recognition
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 91 - Number 15 |
| Year of Publication: 2014 |
| Authors: Hidangmayum Saxena Devi, Dalton Meitei Thounaojam, Romesh Laishram |
10.5120/15959-5335
|
Hidangmayum Saxena Devi, Dalton Meitei Thounaojam, Romesh Laishram . An approach to Illumination and Expression Invariant Multiple Classifier Face Recognition. International Journal of Computer Applications. 91, 15 ( April 2014), 34-37. DOI=10.5120/15959-5335
Abstract
Face recognition is still a challenging task due to the different problems such as pose, illumination, expression and occlusions. Due to these problems, it needs an extensive research. Various face recognition techniques exists but they suffer from one or the other limitations. One technique could not provide robust solution. Therefore, a combination of different face classification techniques can lead to robust solution. Here, the individual output of three different classifiers PCA, KPCA and Fisher face are normalized and combined using SUM rule, with their individual normalized matching score as the input feature vector. The system is tested on AT&T Face Database in which our proposed system is robust against illumination and expression as well as increasing the recognition performance.
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