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CIBIM - Special Session 2015 : 2015 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (IEEE CIBIM'15) - SPECIAL SESSION Machine Learning Techniques for Fingerprint Biometrics | |||||||||||||
Link: http://ieee-ssci.org.za:8080/CIBIM | |||||||||||||
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Call For Papers | |||||||||||||
CALL FOR PAPERS
******************************************************************** 2015 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (IEEE CIBIM'15) SPECIAL SESSION Machine Learning Techniques for Fingerprint Biometrics Cape Town, South Africa ̶ December 7-10, 2015 http://ieee-ssci.org.za:8080/CIBIM ******************************************************************** Fingerprint is one of the most commonly used traits in biometric application due to its high acceptability and distinctiveness. Machine learning techniques and, in general, computational intelligence approaches, are widely adopted in establishing identity based on fingerprint biometrics and also to overcome non-idealities (intra-class variations) typically present in fingerprint samples, acquired using touch-based and touchless sensors. Typical areas related to fingerprint biometrics include enhancement, feature extraction, classification, indexing and anti-spoofing. In this context, computational intelligence/ machine learning approaches play an important role in performing complex nonlinear computations by creating models from the training data. These approaches are based on supervised as well as unsupervised training techniques. Examples of well-known machine learning approaches are artificial neural networks, support vector machines, clustering methods, sparse dictionary learning, decision trees, and evolutionary algorithms. This special session present an opportunity for discussing advances in machine learning techniques applied to fingerprint biometrics, both theoretical as well as applicative. TOPICS In the context of fingerprint recognition systems, topics of interest include, but are not limited to: - Image Enhancement - Feature Extraction (Level 1, Level 2, and Level 3) - Matching - Classification and Indexing - Distortion Correction - Processing of Latent Images - Processing of Three-Dimensional Samples - Processing of Touchless Samples - Quality Assessment - Adaptive Biometric Recognition - Anti-Spoofing / Liveness detection - Fusion Techniques IMPORTANT DATES Paper submission: July 14, 2015 [Extended] Notification to authors: September 4, 2015 Final submission: October 4, 2015 SPECIAL SESSION ORGANISERS Ruggero Donida Labati, Università degli Studi di Milano, Italy Ajita Rattani, University of Missouri- Kansas City, MO, USA SYMPOSIUM CO-CHAIRS Fabio Scotti, Università degli Studi di Milano, Italy Qinghan Xiao, Defence Research and Development Canada, Canada David Zhang, The Hong Kong Polytechnic University, Hong Kong SYMPOSIUM PUBLICITY CHAIR Enrique Muñoz Ballester, Università degli Studi di Milano, Italy SYMPOSIUM PROGRAM COMMITTEE Herve Chabanne, ParisTech, France Ruggero Donida Labati, Università degli Studi di Milano, Italy Gerry Vernon Dozier, North Carolina A&T State University, USA Yingzi (Eliza) Du, University-Purdue University Indianapolis, USA Giorgio Fumera, University of Cagliari, Italy Eric Granger, Ecole de technologie superieure, Canada Laurent Heutte, Universite de Rouen, France Kevin Jia, IGT, USA Kailash J Karande, SKN Sinhgad College of Engineering, India Hale Kim, Inha University, Korea Adams Wai-Kin Kong, Nanyang University, Singapore Wenxin Li, Peking University, China Zheng Liu, Toyota Technological Institute, Japan Gian Luca Marcialis, University of Cagliari, Italy Damodaran Nedumaran, University of Madras, India Hugo Proenca, University of Beira Interior, Portugal Ajita Rattani, University of Cagliari, Italy Robert Sabourin, Ecole de Technologie Superieure, Canada Seref Sagiroglu, Gazi University, Ankara, Turkey Mario Savastano, National Research Council of Italy, Italy Nicole Vincent, Universite Rene Descartes, France Lidong Wang, Mississippi Valley State University, USA Yong Xu, Harbin Institute of Technology, China Svetlana N. Yanushkevich, University of Calgary, Canada Wei-Yun Yau, Institute for Information Research, Singapore Lei Zhang, The Hong Kong Polytechnic University, Hong Kong Huiyu Zhou, Queen's University Belfast, UK |
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