TY  - JOUR
AU  - SenthilSingh, 
AU  - Manikandan, 
PY  - 2014
TI  - FACE RECOGNITION USING RELATIONSHIP LEARNING BASED SUPER RESOLUTION ALGORITHM
JF  - American Journal of Applied Sciences
VL  - 11
IS  - 3
DO  - 10.3844/ajassp.2014.475.481
UR  - https://thescipub.com/abstract/ajassp.2014.475.481
AB  - 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.