@inproceedings{b9a4363e44464de9a495f548ef02e8f2,
title = "Novel image fusion scheme based on maximum ratio combining for robust multispectral face recognition",
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.",
keywords = "Maximum Ratio Combining, Maximum likelihood algorithm, Multispectral face recognition, image fusion",
author = "Faten Omri and Sebti Foufou",
note = "Publisher Copyright: {\textcopyright} 2015 SPIE.; 12th International Conference on Quality Control by Artificial Vision ; Conference date: 03-06-2015 Through 05-06-2015",
year = "2015",
doi = "10.1117/12.2182927",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Fabrice Meriaudeau and Olivier Aubreton",
booktitle = "Twelfth International Conference on Quality Control by Artificial Vision",
}