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Enhancing 3D Face Recognition based PCA by using Rough Set Theory
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 114 - Number 10 |
| Year of Publication: 2015 |
| Authors: A.sh. Ahmed, Sh. K. Guirguis, M. Z. Rashad |
10.5120/20013-1984
|
A.sh. Ahmed, Sh. K. Guirguis, M. Z. Rashad . Enhancing 3D Face Recognition based PCA by using Rough Set Theory. International Journal of Computer Applications. 114, 10 ( March 2015), 10-14. DOI=10.5120/20013-1984
Abstract
Face recognition is a biometric authentication method that has become more and more relevant in the recent years. From being too inaccurate, it is becoming a more mature technology deployed in large scale systems like the new Visa Information System, etc. Sophisticated commercial systems have been developed that achieve high recognition rates. The proposed method of 3D facial recognition based on Rough set technique. In this paper PCA (Principal Component Analysis) approach has been used to reduce Feature vector, for selection of feature have been used the concept of Rough set approach that can be based on the minimal description length principle and tuning methods of parameters of the approximation spaces to obtain high quality classifiers. Finally, Classification of face applied by using Euclidean Distance (ED) and displaying the result to show efficiency and accuracy of proposed method.
References
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- www. gavab. etsii. urjc. es/recursos. html Gavab DB 3D face database is created by Gavab Research Group Department of computing in Universidad Rey Juan Carlos, Madrid, Spain. Gavab DB 3D face database is created to be used for automatic facial recognition experiments and other possible facial applications like pose correction or register of 3D facial models.
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