Paper
1 September 2009 Long range face recognition using shifted phase joint transform correlation technique
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Trisha Ahmed, Mohammed Nazrul Islam, K. Vijayan Asari, and Mohammad A. Karim "Long range face recognition using shifted phase joint transform correlation technique", Proc. SPIE 7442, Optics and Photonics for Information Processing III, 74420R (1 September 2009); https://doi.org/10.1117/12.828650
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KEYWORDS
Image enhancement

Facial recognition systems

Image compression

Detection and tracking algorithms

Image processing

Phase shifts

Image contrast enhancement

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