Advances in Biometric Person Authentication | International Workshop on Biometric Recognition Systems, IWBRS 2005, Beijing, China, October 22 - 23, 2005, Proceedings

Face.- Texture Features in Facial Image Analysis.- Enhance ASMs Based on AdaBoost-Based Salient Landmarks Localization and Confidence-Constraint Shape Modeling.- Face Authentication Using One-Class Support Vector Machines.- A Novel Illumination Normalization Method for Face Recognition.- Using Score Normalization to Solve the Score Variation Problem in Face Authentication.- Gabor Feature Selection for Face Recognition Using Improved AdaBoost Learning.- An Automatic Method of Building 3D Morphable Face Model.- Procrustes Analysis and Moore-Penrose Inverse Based Classifiers for Face Recognition.- Two Factor Face Authentication Scheme with Cancelable Feature.- Fingerprint.- Local Feature Extraction in Fingerprints by Complex Filtering.- A TSVM-Based Minutiae Matching Approach for Fingerprint Verification.- A Robust Orientation Estimation Algorithm for Low Quality Fingerprints.- An Exact Ridge Matching Algorithm for Fingerprint Verification.- Adaptive Fingerprint Enhancement by Combination of Quality Factor and Quantitative Filters.- Fingerprint Classification Based on Statistical Features and Singular Point Information.- Iris.- An Iterative Algorithm for Fast Iris Detection.- A Non-linear Normalization Model for Iris Recognition.- A New Feature Extraction Method Using the ICA Filters for Iris Recognition System.- Iris Recognition Against Counterfeit Attack Using Gradient Based Fusion of Multi-spectral Images.- An Iris Detection Method Based on Structure Information.- Speaker.- Constructing the Discriminative Kernels Using GMM for Text-Independent Speaker Identification.- Individual Dimension Gaussian Mixture Model for Speaker Identification.- Writing.- Sensor Interoperability and Fusion in Signature Verification: A Case Study Using Tablet PC.- Fusion of Local and RegionalApproaches for On-Line Signature Verification.- Text-Independent Writer Identification Based on Fusion of Dynamic and Static Features.- Gait.- Combining Wavelet Velocity Moments and Reflective Symmetry for Gait Recognition.- Model-Based Approaches for Predicting Gait Changes over Time.- Other Biometrics.- Using Ear Biometrics for Personal Recognition.- Biometric Identification System Based on Dental Features.- A Secure Multimodal Biometric Verification Scheme.- Automatic Configuration for a Biometrics-Based Physical Access Control System.