A Novel Algorithm for Face Recognition From Very Low Resolution Images
- Resource Type
- Academic Journal
- Authors
- C. Senthilsingh; M. Manikandan
- Source
- Journal of Electrical Engineering & Technology. 2015-03 10(2):659-669
- Subject
- Face recognition
Face super-resolution (SR)
Relationship learning
Very low resolution (VLR)
- Language
- Korean
- ISSN
- 1975-0102
2093-7423
Face Recognition assumes much significance in the context of security based application. Normally, high resolution images offer more details about the image and recognizing a face from a reasonably high resolution image would be easier when compared to recognizing images from very low resolution images. This paper addresses the problem of recognizing faces from a very low resolution image whose size is as low as 8× 8. With the use of CCTV(Closed Circuit Television) and with other surveillance camera-based application for security purposes, the need to overcome the shortcomings with very low resolution images has been on the rise. The present day face recognition algorithms could not provide adequate performance when employed to recognize images from VLR images. Existing methods use super-resolution (SR) methods and Relation Based Super Resolution methods to construct from very low resolution images. This paper uses a learning based super resolution method to extract and construct images from very low resolution images. Experimental results show that the proposed SR algorithm based on relationship learning outperforms the existing algorithms in public face databases.