2014/03/04 by V. Karthikeyan, Karthikeyan, V., K. Vijayalakshmi +3
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Face and Expression Recognition #Face recognition and analysis #Image Retrieval and Classification Techniques #cs.CV
paper · pdf · doi:10.48550/arxiv.1403.5475
9 figures and 5 pages. arXiv admin note: substantial text overlap with arXiv:1401.6108
arxiv created 2014/03/04 · openalex publication_date 2014/03/04 · arxiv updated 2014/03/24 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
In the beginning stage, face verification is done using easy method of geometric algorithm models, but the verification route has now developed into a scientific progress of complicated geometric representation and identical procedure. In recent years the technologies have boosted face recognition system into the healthy focus. Researchers currently undergoing strong research on finding face recognition system for wider area information taken under hysterical elucidation dissimilarity. The proposed face recognition system consists of a narrative expositionindiscreet preprocessing method, a hybrid Fourier-based facial feature extraction and a score fusion scheme. We have verified the face recognition in different lightening conditions (day or night) and at different locations (indoor or outdoor). Preprocessing, Image detection, Feature- extraction and Face recognition are the methods used for face verification system. This paper focuses mainly on the issue of toughness to lighting variations. The proposed system has obtained an average of 88.1% verification rate on Two-Dimensional images under different lightening conditions.