American Journal of Applied Sciences

FACE RECOGNITION USING RELATIONSHIP LEARNING BASED SUPER RESOLUTION ALGORITHM

SenthilSingh and Manikandan

DOI : 10.3844/ajassp.2014.475.481

American Journal of Applied Sciences

Volume 11, Issue 3

Pages 475-481

Abstract

The face recognition is an application which is for identifying a person from a digital image. The common problem that often occurs while identifying the face from image is due to the low resolution in images especially when it is captured from a long distance. In automated face recognition system, this has always been a challeging problem. To overcome this problem, an approach is proposed to learn the high resolution face and the VLR image face for face. In this new approach the face recognition applications under the VLR problem is designed for good visuality. To create the Very Low Resolution (VLR) image corresponding to each of these High Resolution (HR) images, the HR images are resized to 64×48 pixels. The Very Low Resolution (VLR) of the face image is lower than 16×12 pixels. The proposed system is implemented in MATLAB. The performance of the proposed system is tested. The proposed system is highly accurate and extremely fast in processing the image data. Experimental results show that proposed method outperforms existing methods. The new data constraint that measures the error in the HR image space was developed and RLSR was proposed.

Copyright

© 2014 SenthilSingh and Manikandan . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.