Biometrics and Identity Management

A key driving factor for biometrics is the widespread national and international depl- ment of biometric systems that has been initiated in the past two years and is about to accelerate. While nearly all current biometric deployments are government-led and pr- cipally concerned with national security and border control scenarios, it is now apparent that the widespread availability of biometrics in everyday life will also spin out an ev- increasing number of (private) applications in other domains. Crucial to this vision is the management of the user's identity, which does not only imply the creation and update of a biometric template, but requires the development of instruments to properly handle all the data and operations related to the user identity. COST Action 2101 on Biometrics for Identity Documents and Smart Cards has - erated as a valuable and effective platform for close collaboration of European sci- tists from academia and industry researching biometrics for identity documents and smartcards. This has led to the continuous advances achieved in various classes of biometrics and their implementations in the identity management domain. These c- tributions to knowledge in this field were first presented at the First European Wo- shop on Biometrics and Identity Management (BioID 2008) organized in Roskilde, Denmark during May 79, 2008.

Klappentext

This volume constitutes the post-conference proceedings of the First European Workshop on Biometrics and Identity Management, BIOID 2008, held in Roskilde, Denmark, during May 7-9, 2008.

The 23 regular papers presented were carefully selected from numerous submissions. They cover the following topics: biometric data quality; biometrical templates - face recognition; biometrical templates -- other modalities; biometric attacks and countermeasures; biometric interfaces, and standards and privacy. These papers are presented together with 4 position papers by invited speakers on biometrics and identity management.

Inhalt
Biometric Data Quality.- Quality-Based Score Normalization and Frame Selection for Video-Based Person Authentication.- Face Quality Assessment System in Video Sequences.- On Quality of Quality Measures for Classification.- Definition of Fingerprint Scanner Image Quality Specifications by Operational Quality.- Biometrical Templates: Face Recognition.- Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction.- Bosphorus Database for 3D Face Analysis.- 3D Face Recognition Benchmarks on the Bosphorus Database with Focus on Facial Expressions.- Identity Management in Face Recognition Systems.- Discriminant Non-negative Matrix Factorization and Projected Gradients for Frontal Face Verification.- Biometrical Templates: Other Modalities.- Discrimination Effectiveness of Speech Cepstral Features.- Multimodal Speaker Identification Based on Text and Speech.- A Palmprint Verification System Based on Phase Congruency Features.- Some Unusual Experiments with PCA-Based Palmprint and Face Recognition.- An Empirical Comparison of Individual Machine Learning Techniques in Signature and Fingerprint Classification.- Promoting Diversity in Gaussian Mixture Ensembles: An Application to Signature Verification.- Biometric Attacks and Countermeasures.- Advanced Studies on Reproducibility of Biometric Hashes.- Additive Block Coding Schemes for Biometric Authentication with the DNA Data.- Template Protection for On-Line Signature-Based Recognition Systems.- Direct Attacks Using Fake Images in Iris Verification.- Biometric Interfaces, Standards and Privacy.- Evaluating Systems Assessing Face-Image Compliance with ICAO/ISO Standards.- Automatic Evaluation of Stroke Slope.- Biometric System Based on Voice Recognition Using Multiclassifiers.- POLYBIO:Multimodal Biometric Data Acquisition Platform and Security System.- Position Papers on Biometrics and Identity Management.- Nineteen Urgent Research Topics in Biometrics and Identity Management.- Biometrics for Identity Documents and Smart Cards: European Perspective.- Accessibility of Unsupervised Biometric Systems.- Nothing to Hide Biometrics, Privacy and Private Sphere.