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30 April 2015 Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition
Faten Omri, Sebti Foufou
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Proceedings Volume 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015; 95340T (2015) https://doi.org/10.1117/12.2182927
Event: The International Conference on Quality Control by Artificial Vision 2015, 2015, Le Creusot, France
Abstract
Recently, the research in multispectral face recognition has focused on developing efficient frameworks for improving face recognition performance at close-up distances. However, few studies have investigated the multispectral face images captured at long distance. In fact, great challenges still exist in recognizing human face in images captured at long distance as the image quality might be affected and some important features masked. Therefore, multispectral face recognition tools and algorithms should evolve from close-up distances to long distances. To address these issues, we present in this paper a novel image fusion scheme based on Maximum Ratio Combining algorithm and improve multispectral face recognition at long distance. The proposed method is compared with similar super-resolution method based on the Maximum likelihood algorithm. Simulation results show the efficiency of the proposed approach in term of average variance of detection error.
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Faten Omri and Sebti Foufou "Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition", Proc. SPIE 9534, Twelfth International Conference on Quality Control by Artificial Vision 2015, 95340T (30 April 2015); https://doi.org/10.1117/12.2182927
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KEYWORDS
Image fusion
Facial recognition systems
Near infrared
Detection and tracking algorithms
Multispectral imaging
Lawrencium
Image quality
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