posted by organizer: ruggero || 1098 views || tracked by 3 users: [display]

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

FacebookTwitterLinkedInGoogle

Link: http://ieee-ssci.org.za:8080/CIBIM
 
When Dec 7, 2015 - Dec 10, 2015
Where Cape Town, South Africa
Submission Deadline Jul 14, 2015
Notification Due Sep 4, 2015
Final Version Due Oct 4, 2015
 

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

Related Resources

IJCAI 2019   International Joint Conference on Artificial Intelligence
SSCI 2019   The 2019 IEEE Symposium Series on Computational Intelligence
OLDBB-IEEE-CEC 2019   IEEE CEC 2019: Special Session on “Optimization, Learning, and Decision-Making in Bioinformatics and Bioengineering”
ICCIA--Ei Compendex and Scopus 2019   2019 4th International Conference on Computational Intelligence and Applications (ICCIA 2019)--Ei Compendex and Scopus
ICCIA--Ei and Scopus 2019   2019 4th International Conference on Computational Intelligence and Applications (ICCIA 2019)--Ei Compendex and Scopus
EI/Scopus--APMIE 2019   2019 Asia-Pacific Conference on Mechanical and Industrial Engineering
HPCCT--Ei and Scopus 2019   2019 3rd High Performance Computing and Cluster Technologies Conference (HPCCT 2019)--Ei Compendex and Scopus
CogSIMA 2019   IEEE Conference on Cognitive and Computational Aspects of Situation Management
LNLM journal - sp issue 2019   Learning & NonLinear Models journal - special issue on Evolutionary Computation
IWBF 2019   IAPR/IEEE International Workshop on Biometrics and Forensics 2019