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Long range face recognition using shifted phase joint transform correlation technique

Author(s): Trisha Ahmed; Mohammed Nazrul Islam; K. Vijayan Asari; Mohammad A. Karim

Published: 21 August 2009; 12 pages; 42 papers;
DOI: 10.1117/12.828650

Paper Abstract

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.
This paper was published in SPIE Proceedings Vol. 7442
Optics and Photonics for Information Processing III, Khan M. Iftekharuddin; Abdul A. S. Awwal, Editors, 74420R
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