期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2012
卷号：3
期号：3
页码：4408-4410
出版社：TechScience Publications
摘要：This project tries to solve very low resolution (VLR) problem in face recognition where the resolution of the image to be recognized is lower than 16 × 16 pixels. With the increasing demand of surveillance camera-based applications, the VLR problem happens in many face application systems. Existing face recognition systems are not able to give satisfactory performance on the VLR face image. Based on this new approach, two constraints, namely, new data and discriminative constraints, are designed for good visual and face recognition applications under the VLR problem, respectively. Experimental results show that the proposed Feature extraction technique based on relationship learning and Euclidian distance outperforms the existing algorithms in face recognition from public face databases.
关键词：Face recognition; Feature Extraction; very low;resolution (VLR)
