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22 May 2013 A multistep approach for infrared face recognition in texture space
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Abstract
Face recognition is an area of computer vision that has attracted a lot of interest from the research community. A growing demand for robust face recognition in security applications has driven interesting advancements in this field. In this work, we introduce a new multistep approach for face recognition in the infrared spectrum. The proposed approach works in texture space using binary and ternary pattern descriptors. The approach operates in two steps. In the first step, dimensionality reduction techniques are used to classify the preprocessed infrared face image. This operation permits the selection of the highest score candidates. In the second step, a small set of these candidates are then classified using a correlation based approach. This last step permits the selection of the best matching candidate. The obtained results show a high increase in the face recognition performance when a multistep approach is used compared to dimensionality reduction face recognition techniques alone.
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Moulay A. Akhloufi and Abdelhakim Bendada "A multistep approach for infrared face recognition in texture space", Proc. SPIE 8705, Thermosense: Thermal Infrared Applications XXXV, 87050C (22 May 2013); https://doi.org/10.1117/12.2017943
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