Advances in Biometric Person Authentication

Stan Z. Li

ISBN 10: 3540294317 / ISBN 13: 9783540294313

Published by Springer, Springer Okt 2005, 2005

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 268 pp. Englisch.

Seller Inventory # 9783540294313

Bibliographic Details

• Title: Advances in Biometric Person Authentication
• Publisher: Springer, Springer Okt 2005
• Publication Date: 2005
• Language: English
• ISBN 10: 3540294317
• ISBN 13: 9783540294313
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 15D millimeters 235 millimeters width by 155 millimeters height by 15 millimeters depth
• Weight: 411 grams

About this title

Synopsis

Automatic and reliable authentication of individuals is becoming an essential part of the modern world, for security and convenience in our life, in our work andin society.Biometrics-basedsystems utilize physiologicalorbehavioralch- acteristics of an individual including the face, iris, ?ngerprint, palmprint, hand, voice, signature, or a combination of them, for this task. We are now seeing increasing interest and practical deployment of biometric systems. TheInternationalWorkshoponBiometricRecognitionSystems(IWBRS2005) was held in conjunction with ICCV 2005, providing an interactive forum for leading biometrics researchersand system designers.A biometric authentication competition (BAC) was conducted by the workshopto track the state-of-the-art biometrics technologies. This volume of workshop proceedings includes 32 papers carefully selected from a total of 130 submissions. The papers address the problems in face, iris, ?ngerprint, palmprint, speech, writing and other biometrics, and contribute new ideastoresearchanddevelopmentofreliableandpracticalsolutionsforbiometric authentication. We would like to express our gratitude to all the contributors, reviewers, and ProgramCommittee and OrganizingCommittee members who made this a very successful workshop. We also wish to acknowledge the Institute of Automation, ChineseAcademyofSciences,andSpringerforsponsoringthisworkshop.Special thanks are due to Miao Hong, Xin Yang, Zhuoshi Wei, Yinghao Cai, Zhaofeng He, Cheng Zhong, Shiqi Yu and Xianchao Qiu for their hard work in workshop organization. We hope you could bene?t from the fruitful workshop to improve the perf- mance of your biometric systems.