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Proceedings Paper

Long range face recognition using shifted phase joint transform correlation technique
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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.

Paper Details

Date Published: 1 September 2009
PDF: 12 pages
Proc. SPIE 7442, Optics and Photonics for Information Processing III, 74420R (1 September 2009); doi: 10.1117/12.828650
Show Author Affiliations
Trisha Ahmed, Old Dominion Univ. (United States)
Mohammed Nazrul Islam, Old Dominion Univ. (United States)
K. Vijayan Asari, Old Dominion Univ. (United States)
Mohammad A. Karim, Old Dominion Univ. (United States)


Published in SPIE Proceedings Vol. 7442:
Optics and Photonics for Information Processing III
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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