An efficient face recognition system using local binary pattern.

Vishal, P.; Snigdha, L. K.; Bano, Shahana

Abstract

Facial recognition is a critical and prominent aspect of current research into image processing and computer vision, with particular applications including confront location, confront acknowledgement and outward appearance investigation. A basic advancement towards fruitful facial picture examination is to infer a viable facial portrayal from the first face pictures. Local Binary Patterns (LBP) have recently gained increased attention as an approach for facial depiction. Neighborhood double example (LBP) is a nonparametric descriptor, which proficiently abridges the nearby structures of pictures. In this paper, there will be a complete overview of LBP and an explanation of extentions of that concept. LBP-based facial picture examination is broadly evaluated, while its fruitful expansions (which manage different aspects of facial picture investigation) are additionally featured.

Citation

VISHAL, P., SNIGDHA, L.K. and BANO, S. 2019. An efficient face recognition system using local binary pattern. International journal of recent technology and engineering [online], 8(1S4), article number A11680681S419, pages 912-914. Available from: https://www.ijrte.org/portfolio-item/A11680681S419/

• Journal Article Type: Article
• Acceptance Date: Jun 10, 2019
• Online Publication Date: Jul 4, 2019
• Publication Date: Jun 30, 2019
• Deposit Date: Sep 21, 2023
• Publicly Available Date: Sep 21, 2023
• Journal: International journal of recent technology and engineering
• Electronic ISSN: 2277-3878
• Publisher: Blue Eyes Intelligence Engineering and Sciences Publication
• Peer Reviewed: Peer Reviewed
• Volume: 8
• Issue: 1S4
• Article Number: A11680681S419
• Pages: 912-914
• Keywords: Facial recognition; Image processing; Local binary patterns
• Public URL: https://rgu-repository.worktribe.com/output/2064110
• Publisher URL: https://www.ijrte.org/portfolio-item/A11680681S419/