Paper
24 June 2014 Near-infrared face recognition utilizing open CV software
Louiza Sellami, Hau Ngo, Chris J. Fowler, Liam M. Kearney
Author Affiliations +
Abstract
Commercially available hardware, freely available algorithms, and authors’ developed software are synergized successfully to detect and recognize subjects in an environment without visible light. This project integrates three major components: an illumination device operating in near infrared (NIR) spectrum, a NIR capable camera and a software algorithm capable of performing image manipulation, facial detection and recognition. Focusing our efforts in the near infrared spectrum allows the low budget system to operate covertly while still allowing for accurate face recognition. In doing so a valuable function has been developed which presents potential benefits in future civilian and military security and surveillance operations.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Louiza Sellami, Hau Ngo, Chris J. Fowler, and Liam M. Kearney "Near-infrared face recognition utilizing open CV software", Proc. SPIE 9070, Infrared Technology and Applications XL, 90703H (24 June 2014); https://doi.org/10.1117/12.2050494
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Facial recognition systems

Detection and tracking algorithms

Near infrared

Visible radiation

Cameras

Databases

Image processing

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