Image Analysis and Recognition

1. Front Matter

   PDF

2. Biometrics: Behavioral

   1. Visual Speaker Identification with Spatiotemporal Directional Features

      • Guoying Zhao, Matti Pietikäinen

      Pages 1-10

   2. Soft Biometrics for Keystroke Dynamics

      • Syed Zulkarnain Syed Idrus, Estelle Cherrier, Christophe Rosenberger, Patrick Bours

      Pages 11-18

   3. Waving Detection Using the FuzzyBoost Algorithm and Flow-Based Features

      • Plinio Moreno, José Santos-Victor

      Pages 19-26

   4. Automatic Eye Gesture Recognition in Audiometries for Patients with Cognitive Decline

      • A. Fernandez, M. Ortega, M. G. Penedo, B. Cancela, L. M. Gigirey

      Pages 27-34

   5. Comparative Study between Spatio/Temporal Descriptors for Pedestrians Recognition by Gait

      • Ahmed Derbel, Nabila Mansouri, Yousra Ben Jemaa, Bruno Emile, Sylvie Treuillet

      Pages 35-42

3. Biometrics: Physiological

   1. Outlier Detection in Non-intrusive ECG Biometric System

      • André Lourenço, Hugo Silva, Carlos Carreiras, And Fred

      Pages 43-52

   2. A Unifying Approach to ECG Biometric Recognition Using the Wavelet Transform

      • Carlos Carreiras, André Lourenço, Hugo Silva, Ana Fred

      Pages 53-62

   3. Independent Performance Evaluation of Pseudonymous Identifier Fingerprint Verification Algorithms

      • Davrondzhon Gafurov, Patrick Bours, Bian Yang, Christoph Busch

      Pages 63-71

   4. On Adaptive Fingerprint Pore Extraction

      • Raoni Florentino da Silva Teixeira, Neucimar Jerônimo Leite

      Pages 72-79

   5. A Novel Template Protection Method Based on Palmprint Feature

      • Guangming Lu, Jiandong zhang, Feiyan Shan

      Pages 80-88

   6. Biometric Authentication Based on Pupillary Light Reflex Using Neural Networks

      • Vitor Yano, Lee Luan Ling, Alessandro Zimmer

      Pages 89-96

   7. Fusion of Novel Iris Segmentation Quality Metrics for Failure Detection

      • Thierry Lefevre, Bernadette Dorizzi, Sonia Garcia-Salicetti, Nadege Lemperiere, Stephane Belardi

      Pages 97-106

   8. Facial Expression Recognition by Sparse Reconstruction with Robust Features

      • André Mourão, Pedro Borges, Nuno Correia, João Magalhães

      Pages 107-115

4. Classification and Regression

   1. On Solving the Small Sample Size Problem for Marginal Fisher Analysis

      • Fadi Dornaika, Alireza Bosagzadeh

      Pages 116-123

   2. Multiple-Classifier Fusion Using Spatial Features for Partially Occluded Handwritten Digit Recognition

      • Hieu M. Le, An T. Duong, Son T. Tran

      Pages 124-132

   3. Predicting Aquaplaning Performance from Tyre Profile Images with Machine Learning

      • Tillman Weyde, Gregory Slabaugh, Gauthier Fontaine, Christoph Bederna

      Pages 133-142

   4. Sign Language Recognition Using Hilbert Curve Features

      • Amira Ragab, Maher Ahmed, Siu-Cheung Chau

      Pages 143-151

   5. Hierarchic Image Classification Visualization

      • Teresa A. Mesquita, André R. S. Marçal

      Pages 152-159

5. Object Recognition

   1. A Two-Layer Marked Point Process Framework for Multilevel Object Population Analysis

      • Csaba Benedek

      Pages 160-169

This book constitutes the thoroughly refereed proceedings of the 10th International Conference on Image Analysis and Recognition, ICIAR 2013, held in Póvoa do Varzim, Portugal, in June 2013, The 92 revised full papers presented were carefully reviewed and selected from 177 submissions. The papers are organized in topical sections on biometrics: behavioral; biometrics: physiological; classification and regression; object recognition; image processing and analysis: representations and models, compression, enhancement , feature detection and segmentation; 3D image analysis; tracking; medical imaging: image segmentation, image registration, image analysis, coronary image analysis, retinal image analysis, computer aided diagnosis, brain image analysis; cell image analysis; RGB-D camera applications; methods of moments; applications.

• biomedical data
• computer vision
• image steganography
• pattern recognition
• unsupervised learning

• Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

  Mohamed Kamel

• Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Porto, Portugal

  Aurélio Campilho

Policies and ethics