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020 _a9783642043918
_9978-3-642-04391-8
024 7 _a10.1007/978-3-642-04391-8
_2doi
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050 4 _aTK7882.P3
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072 7 _aCOM016000
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072 7 _aUYQP
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082 0 4 _a006.4
_223
245 1 0 _aBiometric ID Management and Multimodal Communication
_h[electronic resource] :
_bJoint COST 2101 and 2102 International Conference, BioID_MultiComm 2009, Madrid, Spain, September 16-18, 2009, Proceedings /
_cedited by Julian Fierrez, Javier Ortega-Garcia, Anna Esposito, Andrzej Drygajlo, Marcos Faundez-Zanuy.
250 _a1st ed. 2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2009.
300 _aXIII, 358 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
_x3004-9954 ;
_v5707
505 0 _aFace Processing and Recognition -- Illumination Invariant Face Recognition by Non-Local Smoothing -- Manifold Learning for Video-to-Video Face Recognition -- MORPH: Development and Optimization of a Longitudinal Age Progression Database -- Verification of Aging Faces Using Local Ternary Patterns and Q-Stack Classifier -- Voice Analysis and Modeling -- Recognition of Emotional State in Polish Speech - Comparison between Human and Automatic Efficiency -- Harmonic Model for Female Voice Emotional Synthesis -- Anchor Model Fusion for Emotion Recognition in Speech -- Multimodal Interaction -- Audiovisual Alignment in a Face-to-Face Conversation Translation Framework -- Maximising Audiovisual Correlation with Automatic Lip Tracking and Vowel Based Segmentation -- Visual Context Effects on the Perception of Musical Emotional Expressions -- Eigenfeatures and Supervectors in Feature and Score Fusion for SVM Face and Speaker Verification -- Face and Expression Recognition -- Facial Expression Recognition Using Two-Class Discriminant Features -- A Study for the Self Similarity Smile Detection -- Analysis of Head and Facial Gestures Using Facial Landmark Trajectories -- Combining Audio and Video for Detection of Spontaneous Emotions -- Face Recognition Using Wireframe Model Across Facial Expressions -- Body and Gait Recognition -- Modeling Gait Using CPG (Central Pattern Generator) and Neural Network -- Fusion of Movement Specific Human Identification Experts -- CBIR over Multiple Projections of 3D Objects -- Biometrics beyond the Visible Spectrum: Imaging Technologies and Applications -- Poster Session -- Formant Based Analysis of Spoken Arabic Vowels -- Key Generation in a Voice Based Template Free Biometric Security System -- Extending Match-On-Card to Local Biometric Identification -- A New Fingerprint Matching Algorithm Based on Minimum Cost Function -- Invariant Fourier Descriptors Representation of Medieval Byzantine Neume Notation -- Bio-Inspired Reference Level Assigned DTW for Person Identification Using Handwritten Signatures -- Pressure Evaluation in On-Line and Off-Line Signatures -- Confidence Partition and Hybrid Fusion in Multimodal Biometric Verification System -- Multi-biometric Fusion for Driver Authentication on the Example of Speech and Face -- Multi-modal Authentication Using Continuous Dynamic Programming -- Biometric System Verification Close to “Real World” Conditions -- Developing HEO Human Emotions Ontology -- Common Sense Computing: From the Society of Mind to Digital Intuition and beyond -- On Development of Inspection System for Biometric Passports Using Java -- Handwritten Signature On-Card Matching Performance Testing -- Classification Based Revocable Biometric Identity Code Generation -- Vulnerability Assessment of Fingerprint Matching Based on Time Analysis -- A Matching Algorithm Secure against the Wolf Attack in Biometric Authentication Systems -- A Region-Based Iris Feature Extraction Method Based on 2D-Wavelet Transform -- A Novel Contourlet Based Online Fingerprint Identification -- Fake Finger Detection Using the Fractional Fourier Transform -- Comparison of Distance-Based Features for Hand Geometry Authentication -- A Comparison of Three Kinds of DP Matching Schemes in Verifying Segmental Signatures -- Ergodic HMM-UBM System for On-Line Signature Verification -- Improving Identity Prediction in Signature-based Unimodal Systems Using Soft Biometrics.
520 _aThis book constitutes the research papers presented at the Joint 2101 & 2102 International Conference on Biometric ID Management and Multimodal Communication. BioID_MultiComm'09 is a joint International Conference organized cooperatively by COST Actions 2101 & 2102. COST 2101 Action is focused on "Biometrics for Identity Documents and Smart Cards (BIDS)", while COST 2102 Action is entitled "Cross-Modal Analysis of Verbal and Non-verbal Communication". The aim of COST 2101 is to investigate novel technologies for unsupervised multimodal biometric authentication systems using a new generation of biometrics-enabled identity documents and smart cards. COST 2102 is devoted to develop an advanced acoustical, perceptual and psychological analysis of verbal and non-verbal communication signals originating in spontaneous face-to-face interaction, in order to identify algorithms and automatic procedures capable of recognizing human emotional states.
650 0 _aPattern recognition systems.
650 0 _aComputer vision.
650 0 _aBiometric identification.
650 0 _aImage processing
_xDigital techniques.
650 0 _aInformation storage and retrieval systems.
650 0 _aArtificial intelligence.
650 1 4 _aAutomated Pattern Recognition.
650 2 4 _aComputer Vision.
650 2 4 _aBiometrics.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aInformation Storage and Retrieval.
650 2 4 _aArtificial Intelligence.
700 1 _aFierrez, Julian.
_eeditor.
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700 1 _aOrtega-Garcia, Javier.
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700 1 _aEsposito, Anna.
_eeditor.
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700 1 _aDrygajlo, Andrzej.
_eeditor.
_4edt
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700 1 _aFaundez-Zanuy, Marcos.
_eeditor.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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830 0 _aImage Processing, Computer Vision, Pattern Recognition, and Graphics,
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856 4 0 _uhttps://doi.org/10.1007/978-3-642-04391-8
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