Long range face recognition using shifted phase joint transform correlation technique

Autor:	Mohammed Nazrul Islam, Trisha Ahmed, K. Vijayan Asari, Mohammad A. Karim
Rok vydání:	2009
Předmět:	Range (mathematics) Computer science Image quality business.industry Face (geometry) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Image processing Artificial intelligence Face detection business Facial recognition system
Zdroj:	SPIE Proceedings.
ISSN:	0277-786X
DOI:	10.1117/12.828650
Popis:	A new face recognition system is proposed using a nonlinear image enhancement algorithm incorporated in a synthetic discriminant function based shifted phase-encoded fringe-adjusted joint transform correlation (SDF-SPFJTC) technique as a preprocessing step. The given input image recorded from a long distance is improved by using adaptive dynamic range compression and local contrast enhancement schemes. The Viola-Jones technique is then applied to detect any human face in the scene and hence correct its size. Finally the SDF-SPFJTC technique yields the recognition of the target face along with its location. Computer simulation performed on real life scenes shows efficient and successful recognition performance in varying environmental conditions.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::080b3fbf72963b52e333f8b20079a894 https://doi.org/10.1117/12.828650 Zobrazit plný text záznamu