Dorsal Hand Vein Image Contrast Enhancement Techniques
The hand-vein pattern is one of the human biometric signatures that can be used for personal verification. The first task of a verification process using hand-vein patterns is extracting the pattern from an infrared hand vein image. An image of hand vein acquired by near-infrared (NIR) imaging device usually suffers from low contrast and noise due to non-illumination and thickness of the hand skin. This makes subsequent processing such as segmentation difficult. In this paper, a proposed approach is processed to improve the quality of hand vein image. Comparative analysis on a test image using different contrast enhancement algorithms has shown the effectiveness of the proposed method and its limits.
Keywords: Image enhancement; Hand Vein; Biometrics;
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ABOUT THE AUTHORS
A. Djerouni
received the Magister degree in electrical engineering in 1985 from the University of Sciences and Technology of Oran. Since 2000, she has been a Research Assistant at Intelligent Systems Research Laboratory. She currently teaches television at the Electronics Department, Electrical and Electronics Engineering Faculty, University of Sciences and Technology of Oran. Her main research area focused on biomedical signals and image processing and analysis. She has a strong interest in television and video processing.
H. Hamada
received the M.S. degree in electronics engineering in 1978 at USTO, the Diplôme d’Etudes Approfondies (DEA) and Docteur-Ingénieur degrees in E.E.A. (Electronique Electrotechnique Automatique) in 1979 and 1982 respectively from the “Université Paul SABATIER -Toulouse “. He is presently with the Intelligent Systems Research Laboratory. His experience is related to teledetection, pattern recognition, classification, image processing and analysis.
A.Loukil
received his PhD in Robotics at Paris 12 university (France) in 1993. Actually, he is a lecturer at Electronics Department of the University of Sciences and Technologies of Oran (Algeria) where he teaches Programming Sciences, Image Processing and Artificial Vision. He is a member of LARESI laboratory and chief of the research team “Mobile Robot and Vision”. His research topics relate to the modeling and calibrating of image sensors, design and evaluation of the man-machine interfaces, Virtual Reality and Augmented Reality. Nasr-Eddine Berrached received
N. Berrached
received the “doctor of engineering degree” in computer sciences from Tokyo Institute of technology in 1992. He is Professor at the University of Sciences and Technology of Oran where he leads since 2000 the Intelligent Systems Research Laboratory. He is coordinator of the Doctoral School in “New Technologies for Information and Communication, Intelligent Systems, and Robotics”. He is Expert of the European Union commission for education: Tempus Program and is also member of the standing committee for scientific research and technology development is a member of the IEEE and the IEEE Computer Society.
A. Djerouni
received the Magister degree in electrical engineering in 1985 from the University of Sciences and Technology of Oran. Since 2000, she has been a Research Assistant at Intelligent Systems Research Laboratory. She currently teaches television at the Electronics Department, Electrical and Electronics Engineering Faculty, University of Sciences and Technology of Oran. Her main research area focused on biomedical signals and image processing and analysis. She has a strong interest in television and video processing.
H. Hamada
received the M.S. degree in electronics engineering in 1978 at USTO, the Diplôme d’Etudes Approfondies (DEA) and Docteur-Ingénieur degrees in E.E.A. (Electronique Electrotechnique Automatique) in 1979 and 1982 respectively from the “Université Paul SABATIER -Toulouse “. He is presently with the Intelligent Systems Research Laboratory. His experience is related to teledetection, pattern recognition, classification, image processing and analysis.
A.Loukil
received his PhD in Robotics at Paris 12 university (France) in 1993. Actually, he is a lecturer at Electronics Department of the University of Sciences and Technologies of Oran (Algeria) where he teaches Programming Sciences, Image Processing and Artificial Vision. He is a member of LARESI laboratory and chief of the research team “Mobile Robot and Vision”. His research topics relate to the modeling and calibrating of image sensors, design and evaluation of the man-machine interfaces, Virtual Reality and Augmented Reality. Nasr-Eddine Berrached received
N. Berrached
received the “doctor of engineering degree” in computer sciences from Tokyo Institute of technology in 1992. He is Professor at the University of Sciences and Technology of Oran where he leads since 2000 the Intelligent Systems Research Laboratory. He is coordinator of the Doctoral School in “New Technologies for Information and Communication, Intelligent Systems, and Robotics”. He is Expert of the European Union commission for education: Tempus Program and is also member of the standing committee for scientific research and technology development is a member of the IEEE and the IEEE Computer Society.
