Simple Approach for Face Expression Recognition Using Dual Classifier for Enhanced Throughput
| Author(s) | : | Desai Ghata Sanjeevkumar, Pankaj Kumar Gautam |
| Institution | : | CSE Department, Parul Institute of Technology, Limda, Vadodara, India |
| Published In | : | Vol. 2, Issue 6 — June 2015 |
| Page No. | : | 690-695 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
This paper presents a facial expression recognition system using dual classifier approach. The face isdetected using viola jones algorithm. The Gabor filters are used for feature extraction. The dimensionality of the featurevector is reduced by the Principal Component Analysis (PCA) to remove redundant data that leads to unnecessarycomputation cost. The Support Vector Machine (SVM) and Bayesian Classifiers are used sequentially for expressionclassification. The performance of the proposed method is tested on public and largely used Cohn -Kanade database.Theexperiments show that proposed method gives promising results.
Desai Ghata Sanjeevkumar, Pankaj Kumar Gautam, “Simple Approach for Face Expression Recognition Using Dual Classifier for Enhanced Throughput”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 6, pp. 690-695, June 2015.
