Please use this identifier to cite or link to this item: http://ktisis.cut.ac.cy/handle/10488/4055
Title: An illumination invariant face recognition algorithm
Authors: Leonidou, Miltiades
Tsapatsoulis, Nicolas 
Kollias, Stefanos D. 
Keywords: Algorithms;Approximation theory;Content based retrieval;Cosine transforms;Database systems;Eigenvalues and eigenfunctions;Image reconstruction;Matrix algebra;Robustness (control systems);Vectors;Identification algorithms;Singular value decomposition (SVD);Face recognition
Category: Computer and Information Sciences
Field: Natural Sciences
Issue Date: 1998
Source: Joint Conference on Information Sciences,1998, Durham, North Carolina, USA, 23-28 October 1998
Abstract: A face recognition technique, introducing an identification algorithm able to preserve facial content information independently of illumination variations, is proposed in this paper. Content information of images, stored in the face database, is kept by retaining their singular vectors while their illumination conditions are adapted according to the luminance information of the face image to be identified, provided by its singular values. To make the algorithm suitable for real time applications a fast presorting of the database is executed based on a similarity measure of block DCT coefficients. Experimental results depict the efficiency of the proposed method, showing not only a remarkable increase in the recognition rates, but also an improvement of the robustness of identification.
URI: http://ktisis.cut.ac.cy/handle/10488/4055
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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