Academic Journals Database
Disseminating quality controlled scientific knowledge

Feature Image Generation Using Low, Mid and High Frequency Regions for Face Recognition

Author(s): Vikas Maheshkar | Sushila Kamble | Suneeta Agarwal | Vinay Kumar Srivastava

Journal: International Journal of Multimedia & Its Applications
ISSN 0975-5934

Volume: 4;
Issue: 1;
Start page: 75;
Date: 2012;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Discrete Cosine Transform | Low | Mid | and High frequency components | Mahalanobis distance

In this paper, we propose a generation of feature image for face recognition. Feature image is generated using Discrete Cosine Transform (DCT), which tries to best classify different face images by maximizing the individual difference between face images. Low, Mid, and High frequency components of DCT are usedto hold different information of face by providing a local description of different facial components such as detailed smooth region description and, effective edge representation. Reduction in different frequency components is achieved using statistical measure such as standard deviation. A comparison of proposed work with other standard methods is done on ORL face datasets. An experimental result shows a significant improvement of the proposed scheme.

Tango Jona
Tangokurs Rapperswil-Jona

     Affiliate Program