Biometric Systems

Raffaele Cappelli
Dept. of Electronics, Computer Science and Systems
University of Bologna
Via Sacchi 3,
47023 Cesena (FO) - Italy
http://bias.csr.unibo.it/research/biolab/bio_tree.html

Abstract:
Biometric Systems are automated methods of verifying or recognizing the identity of a living person on the basis of some physiological characteristics, like a fingerprint or iris pattern, or some aspects of behavior, like handwriting or keystroke patterns. This tutorial will introduce biometric systems, will explore the main biometric modalities and will discuss key issues like multimodal systems, performance evaluation and testing. Some practical demonstrations will be given during the tutorial.

Outline:

• Introduction to biometric systems
• Biometric system performance
• Architecture of a biometric system
• Applications of biometric systems
• Face
• Fingerprint
• Iris
• Hand geometry
• Other modalities
• Multimodal biometric systems
• Testing and performance evaluation

Background and potential target audience:
The tutorial is targeted to beginners; no particular expertise is requested to understand the topics presented, even if a basic knowledge of image processing and pattern recognition techniques will help to better understand the most technical parts.

Biographies:
Davide Maltoni is an Associate Professor at University of Bologna (Dept. of Electronics, Informatics and Systems - DEIS). He teaches "Computer Architectures" and "Pattern Recognition" at Computer Science, University of Bologna, Cesena. Davide Maltoni's research interests are in the area of Pattern Recognition and Computer Vision. In particular, he is active in the field of Biometric Systems (fingerprint recognition, face recognition, hand recognition, performance evaluation of biometric systems). Davide Maltoni is co-director of the Biometric Systems Laboratory (BioLab), which is internationally known for its research and publications in the field. Several original techniques have been proposed by BioLab team for fingerprint feature extraction, matching and classification, for hand shape verification, for face location and for performance evaluation of biometric systems. In particular, BioLab developed and published the first algorithm able to meet the FBI error requirements for automatic fingerprint classification and developed SFinGe, the first effective method for generating realistic synthetic fingerprint databases. Recently, in cooperation with Prof. A.K. Jain from Michigan State University and Prof. J. Wayman from San Josè University, BioLab organized the First, Second and Third International Competitions for Fingerprint Verification Algorithms (FVC2000, FVC2002 and FVC2004). Davide Maltoni is co-author of the Handbook of Fingerprint Recognition published by Springer, New York, 2003
Raffaele Cappelli is a research associate at the University of Bologna, Italy. His research interests include Biometric Systems, Pattern Recognition and Image Retrieval by Similarity. He his coauthor of conference and journal papers and three book chapters;  Dr. Cappelli is a member of the Biometric Systems Laboratory (University of Bologna) and is one of the organizers of the International Fingerprint Verification Competitions (FVC2000,FVC2002 and FVC2004). Currently, he works on fingerprint and face recognition algorithms and on a novel approach for the generation of synthetic fingerprint images.
Raffaele Cappelli received his Laurea degree cum laude in Computer Science in 1998 and his Ph.D. in 2002 at DEIS-University of Bologna.