Published Articles >> Table of Contents
Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
| Introduction |
Foreword (PDF)
p. xi
 
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Organizing Committee (PDF)
p. xii
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Program Committee (PDF)
p. xiii
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| Invited Talk |
Schürmann-Polynomials — Roots and Offsprings: Their Impact on Today's Pattern Recognition (Abstract)
Udo Miletzki, Siemens DEMATIC
p. 3
  
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| Classifier Design |
A Fast Algorithm for Finding k-Nearest Neighbors with Non-Metric Dissimilarity (Abstract)
Bin Zhang, State University of New York at Buffalo
Sargur N. Srihari, State University of New York at Buffalo
p. 13
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Multidimensional Multistage K-NN Classifiers for Handwritten Digit Recognition (Abstract)
I. Soraluze, UPV/EHU
C. Rodriguez, UPV/EHU
F. Boto, UPV/EHU
A. Perez, UPV/EHU
p. 19
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Rejection Measures for Handwriting Sentence Recognition (Abstract)
S. Marukatat, LIP6
T. Artieres, LIP6
P. Gallinari, LIP6
B. Dorizzi, EPH, Institut National des Télécommunications
p. 24
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Confidence Modeling for Verification Post-Processing for Handwriting Recognition (Abstract)
John F. Pitrelli, IBM T. J. Watson Research Center
Michael P. Perrone, IBM T. J. Watson Research Center
p. 30
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The Effect of Large Training Set Sizes on Online Japanese Kanji and English Cursive Recognizers (Abstract)
Henry A. Rowley, Microsoft Corporation
Manish Goyal, Microsoft Corporation
John Bennett, Microsoft Corporation
p. 36
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Classifying Isogenous Fields (Abstract)
Sriharsha Veeramachaneni, Rensselaer Polytechnic Institute
Hiromichi Fujisawa, Hitachi Central Research Laboratory
Cheng-Lin Liu, Hitachi Central Research Laboratory
George Nagy, Rensselaer Polytechnic Institute
p. 41
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| On-Line Recognition |
On-Line Handwriting Recognition with Support Vector Machines — A Kernel Approach (Abstract)
Claus Bahlmann, Albert-Ludwigs-University Freiburg
Bernard Haasdonk, Albert-Ludwigs-University Freiburg
Hans Burkhardt, Albert-Ludwigs-University Freiburg
p. 49
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Handprinted Hiragana Recognition Using Support Vector Machines (Abstract)
Ken-ichi Maruyama, Shinshu University
Minoru Maruyama, Shinshu University
Hidetoshi Miyao, Shinshu University
Yasuaki Nakano, Shinshu University
p. 55
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Minimum Classification Error Training for Online Handwritten Word Recognition (Abstract)
Alain Biem, IBM T. J. Watson Research Center
p. 61
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On-Line Handwriting Recognition Using Character Bigram Match Vectors (Abstract)
Adnan El-Nasan, Rensselaer Polytechnic Institute
Michael Perrone, IBM T.J. Watson Research Center
p. 67
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A Handwritten Character Recognition Method Based on Unconstrained Elastic Matching and Eigen-Deformations (Abstract)
Seiichi Uchida, Kyushu University
Hiroaki Sakoe, Kyushu University
p. 72
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Context-Dependent Substroke Model for HMM-Based On-Line Handwriting Recognition (Abstract)
Junko Tokuno, Japan Advanced Institute of Science and Technology
Nobuhito Inami, Japan Advanced Institute of Science and Technology
Shigeki Matsuda, Japan Advanced Institute of Science and Technology
Mitsuru Nakai, Japan Advanced Institute of Science and Technology
Hiroshi Shimodaira, Japan Advanced Institute of Science and Technology
Shigeki Sagayama, University of Tokyo
p. 78
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Comparing On-Line Recognition of Japanese and Western Script in Preparation for Recognizing Multi-Language Documents (Abstract)
S. Jaeger, Tokyo University of Agriculture & Technology
M. Nakagawa, Tokyo University of Agriculture & Technology
C.-L. Liu, Hitachi Ltd.
p. 84
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Bigram-Based Post-Processing for On-Line Handwriting Recognition Using Correctness Evaluation (Abstract)
Akira Nakamura, SANYO Electric Co., Ltd.
Hiromitsu Kawajiri, SANYO Electric Co., Ltd.
p. 90
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| Word Recognition |
A Hybrid Large Vocabulary Handwritten Word Recognition System Using Neural Networks with Hidden Markov Models (Abstract)
Alessandro L. Koerich, École de Technologie Supérieure
Yann Leydier, I.N.S.A. de Lyon
Robert Sabourin, École de Technologie Supérieure
Ching Y. Suen, Concordia University
p. 99
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Segmentation and Recognition of Handwritten Dates (Abstract)
M. Morita, Ecole de Technologie Supérieure and Centre for Pattern Recognition and Machine Intelligence
R. Sabourin, Ecole de Technologie Supérieure and Pontifícia Universidade Católica do Paraná
F. Bortolozzi, Pontifícia Universidade Católica do Paraná
C. Y. Suen, Centre for Pattern Recognition and Machine Intelligence
p. 105
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Recognition of Handwritten Month Words on Bank Cheques (Abstract)
Qizhi Xu, Concordia University
Jin Ho Kim, Kyungil University
Louisa Lam, Hong Kong Institute of Education
C. Y. Suen, Concordia University
p. 111
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Combination of Multiple Classifiers for Handwritten Word Recognition (Abstract)
Wenwei Wang, Gerhard-Mercator-University Duisburg
Anja Brakensiek, Gerhard-Mercator-University Duisburg
Gerhard Rigoll, Technical University of Munich
p. 117
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Incorporating Contextual Character Geometry in Word Recognition (Abstract)
Hanhong Xue, State University of New York at Buffalo
Venu Govindaraju, State University of New York at Buffalo
p. 123
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Combination of Local and Global Vision Modelling for Arabic Handwritten Words Recognition (Abstract)
S. Snoussi Maddouri, National Engineering School of Tunis
H. Amiri, National Engineering School of Tunis
A. Belaid, LORIA-CNRS
Ch. Choisy, LORIA-CNRS
p. 128
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| Learning Methods |
Automating Performance Optimization for Script Word Recognition Systems (Abstract)
Michael Schuessler, Siemens Dematic AG
p. 139
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Genetical Engineering of Handwriting Representations (Abstract)
Alexandre Lemieux, Université Laval
Christian Gagne, Université Laval
Marc Parizeau, Université Laval
p. 145
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A Comparative Study on Mirror Image Learning and ALSM (Abstract)
Tetsushi Wakabayashi, Mie University
Meng Shi, Mie University
Wataru Ohyama, Mie University
Fumitaka Kimura, Mie University
p. 151
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Learning-based Cursive Handwriting Synthesis (Abstract)
Jue Wang, Microsoft Research Asia and Tsinghua University
Chenyu Wu, Microsoft Research Asia and Tsinghua University
Ying-Qing Xu, Microsoft Research Asia
Heung-Yeung Shum, Microsoft Research Asia
Liang Ji, Tsinghua University
p. 157
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A Learning Algorithm for Structured Character Pattern Representation Ysed in On-Line Recognition of Handwritten Japanese Characters (Abstract)
A. Kitadai, Tokyo University of Agriculture and Technology
M. Nakagawa, Tokyo University of Agriculture and Technology
p. 163
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Hybrid Adaptation: Integration of Adaptive Classification with Adaptive Context Processing (Abstract)
Naomi Iwayama, Fujitsu Laboratories Ltd.
Katsuhiko Akiyama, Fujitsu Laboratories Ltd.
Kazushi Ishigaki, Fujitsu Laboratories Ltd.
p. 169
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| Multiple Classifiers |
A New Warping Technique for Normalizing Likelihood of Multiple Classifiers and Its Effectiveness in Combined On-line/Off-line Japanese Character Recognition (Abstract)
Ondrej Velek, Tokyo University of Agriculture & Technology
Stefan Jaeger, Tokyo University of Agriculture & Technology
Masaki Nakagawa, Tokyo University of Agriculture & Technology
p. 177
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Creation of Classifier Ensembles for Handwritten Word Recognition Using Feature Selection Algorithms (Abstract)
Simon Gunter, University of Bern
Horst Bunke, University of Bern
p. 183
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Novel Approaches to Optimized Self-Configuration in High Performance Multiple-Expert Classifiers (Abstract)
A. F. R. Rahman, BCL Technologies Inc.
M. C. Fairhurst, University of Kent
S. Hoque, University of Kent
p. 189
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An Overview and Comparison of Voting Methods for Pattern Recognition (Abstract)
Merijn van Erp, NICI
Louis Vuurpijl, NICI
Lambert Schomaker, University of Groningen
p. 195
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Class-Confidence Critic Combining (Abstract)
Matti Aksela, Helsinki University of Technology
Ramunas Girdziusas, Helsinki University of Technology
Jorma Laaksonen, Helsinki University of Technology
Erkki Oja, Helsinki University of Technology
p. 201
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Bit Plane Decomposition and the Scanning n-tuple Classifier (Abstract)
S. Hoque, University of Kent
K. Sirlantzis, University of Kent
M. C. Fairhurst, University of Kent
p. 207
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| Pen Computing and Document Applications |
TreadMill Ink — Enabling Continuous Pen Input on Small Devices (Abstract)
Giovanni Seni, Motorola Human Interface Labs
p. 215
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Vind(x): Using the User through Cooperative Annotation (Abstract)
Louis Vuurpijl, NICI and University of Nijmegen
Lambert Schomaker, RUG and University of Groningen
Egon van den Broek, NICI
p. 221
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Stroke Level HMMs for On-Line Handwriting Recognition (Abstract)
T. Artieres, Université Paris 6
P. Gallinari, Université Paris 6
p. 227
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Handwritten Document Retrieval (Abstract)
Gregory Russell, IBM T.J. Watson Research Center
Michael P. Perrone, IBM T.J. Watson Research Center
Yi-min Chee, IBM T.J. Watson Research Center
Aiman Ziq, IBM T.J. Watson Research Center
p. 233
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Extraction of Place-Name from Natural Scenes (Abstract)
Takuma Yamaguchi, Shinshu University
Yasuaki Nakano, Shinshu University
p. 239
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Separating Text and Background in Degraded Document Images — A Comparison of Global Threshholding Techniques for Multi-Stage Threshholding (Abstract)
Graham Leedham, Nanyang Technological University
Saket Varma, Center of Excellence for Document Analysis and Recognition
Anish Patankar, Center of Excellence for Document Analysis and Recognition
Venu Govindarayu, Center of Excellence for Document Analysis and Recognition
p. 244
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| Signature Verification and Writer Identification |
On-Line Signature Verification: Fusion of a Hidden Markov Model and a Neural Network via a Support Vector Machine (Abstract)
Marc Fuentes, INT
Sonia Garcia-Salicetti, INT
Bernadette Dorizzi, INT
p. 253
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Analysis of Stability in Hand-Written Dynamic Signatures (Abstract)
G. Dimauro, Università degli Studi di Bari
S. Impedovo, Università degli Studi di Bari
R. Modugno, Università degli Studi di Bari
G. Pirlo, Università degli Studi di Bari
L. Sarcinella, Consorzio Interuniversitario Nazionale per l’Informatica
p. 259
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Automatic Detection of Handwriting Forgery (Abstract)
Sung-Hyuk Cha, Pace University
Charles C. Tappert, Pace University
p. 264
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Ink Texture Analysis for Writer Identification (Abstract)
Katrin Franke, Fraunhofer Institute for Production Systems and Design Technology
Ottmar Bunnemeyer, Fraunhofer Institute for Production Systems and Design Technology
Thorsten Sy, Fraunhofer Institute for Production Systems and Design Technology
p. 268
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Writer Identification By Writer’s Invariants (Abstract)
Ameur Bensefia, Université de Rouen
Ali Nosary, Université de Rouen
Thierry Paquet, Université de Rouen
Laurent Heutte, Université de Rouen
p. 274
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Automatic Handwriting Recognition and Writer Matching on Anthrax-Related Handwritten Mail (Abstract)
Sargur N. Srihari, State University of New York at Buffalo
Sangjik Lee, State University of New York at Buffalo
p. 280
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| Off-Line Recognition |
Writer Adaptation Techniques in Off-Line Cursive Word Recognition (Abstract)
Alessandro Vinciarelli, Institut Dalle Molle d’Intelligence Artificielle Perceptive
Samy Bengio, Institut Dalle Molle d’Intelligence Artificielle Perceptive
p. 287
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Empirical Error based Optimization of SVM Kernels: Application to Digit Image Recognition (Abstract)
N. E. Ayat, École de Technologie Supérieure and Concordia University
M. Cheriet, École de Technologie Supérieure
C. Y. Suen, Concordia University
p. 292
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Recognition of Courtesy Amounts on Bank Checks Based on a Segmentation Approach (Abstract)
L. Q. Zhang, Concordia University
C. Y. Suen, Concordia University
p. 298
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Integrated Segmentation and Recognition of Handwritten Numerals: Comparison of Classification Algorithms (Abstract)
Cheng-Lin Liu, Hitachi, Ltd.
Hiroshi Sako, Hitachi, Ltd.
Hiromichi Fujisawa, Hitachi, Ltd.
p. 303
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Script and Nature Differentiation for Arabic and Latin Text Images (Abstract)
Slim Kanoun, University of Rouen
Adellatif Ennaji, University of Rouen
Yves LeCourtier, University of Rouen
Adel M. Alimi, University of Sfax
p. 309
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Dynamic Observations and Dynamic State Termination for Off-Line Handwritten Word Recognition Using HMM (Abstract)
Y. Al-Ohali, Concordia University
M. Cheriet, École de Technologie Supérieure and University of Québec
C. Y. Suen, Concordia University
p. 314
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Handwritten Digit Recognition Using State-of-the-Art Techniques (Abstract)
Cheng-Lin Liu, Hitachi, Ltd.
Kazuki Nakashima, Hitachi, Ltd.
Hiroshi Sako, Hitachi, Ltd.
Hiromichi Fujisawa, Hitachi, Ltd.
p. 320
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| Posters 1 |
An On-Line Signature Verification System Using Hidden Markov Model in Polar Space (Abstract)
H. S. Yoon, Computer Software Technology Laboratory and Korea Advanced Institute of Science and Technology
J. Y. Lee, Computer Software Technology Laboratory
H. S. Yang, Korea Advanced Institute of Science and Technology
p. 329
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A Study On the Use of CDHMM for Large Vocabulary Offline Recognition of Handwritten Chinese Characters (Abstract)
Yong Ge, University of Science and Technology of China
Qiang Huo, University of Hong Kong
p. 334
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An Algorithm for On-Line Strokes Verification of Chinese Characters Using Discrete Features (Abstract)
Chwee Keng Tan, Temasek Polytechnic
p. 339
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Clustering Writing Styles with a Self-Organizing Map (Abstract)
Vuokko Vuori, Helsinki University of Technology
p. 345
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Detecting Dominant Point on On-line Scripts with a Simple Approach (Abstract)
Su Yang, Northwestern Polytechnical University
Guozhong Dai, Northwestern Polytechnical University
p. 351
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Handwritten Address Recognition with Open Vocabulary Using Character N-Grams (Abstract)
Anja Brakensiek, Gerhard-Mercator-University Duisburg
Jorg Rottland, Siemens Dematic AG
Gerhard Rigoll, Technical University of Munich
p. 357
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Experiments in Unconstrained Offline Handwritten Text Recognition
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Handwritten Text Recognition Through Writer Adaptation (Abstract)
Ali Nosary, Université de Rouen
Thierry Paquet, Université de Rouen
Laurent Heutte, Université de Rouen
Ameur Bensefia, Université de Rouen
p. 363
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Hidden Markov Model Length Optimization for Handwriting Recognition Systems (Abstract)
Matthias Zimmermann, University of Bern
Horst Bunke, University of Bern
p. 369
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Hidden Loop Recovery for Handwriting Recognition (Abstract)
David Doermann, University of Maryland at College Park
Nathan Intrator, Tel-Aviv University
Ehud Rivlin, Technion
Tal Steinherz, Tel-Aviv University
p. 375
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Affine Alignment for Stroke Classification (Abstract)
Alberto Ruiz, University of Murcia
p. 381
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| Posters 2 |
Linguistic Integration Information in the AABATAS Arabic Text Analysis System (Abstract)
Slim Kanoun, University of Rouen
Adellatif Ennaji, University of Rouen
Yves LeCourtier, University of Rouen
Adel M. Alimi, University of Sfax
p. 389
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Handwritten Numeral String Recognition Using Neural Network Classifier Trained with Negative Data (Abstract)
Ho-Yon Kim, ETRI
Kil-Taek Lim, ETRI
Yun-Seok Nam, ETRI
p. 395
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Medical Word Recognition Using a Computational Semantic Lexicon (Abstract)
Robert Milewski, State University of New York at Buffalo
Venu Govindaraju, State University of New York at Buffalo
p. 401
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A Segmentation System for Touching Handwritten Japanese Characters (Abstract)
Teruyuki Yamaguchi, Mie University
Shinji Tsuruoka, Mie University
Tomohiro Yoshikawa, Mie University
Tsuyoshi Shinogi, Mie University
Eiji Makimoto, Hitachi Ltd.
Hisao Ogata, Hitachi Ltd.
Malayappan Shridhar, University of Michigan-Dearborn
p. 407
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Transcript Mapping for Historic Handwritten Document Images (Abstract)
Catalin I. Tomai, CEDAR
Bin Zhang, CEDAR
Venu Govindaraju, CEDAR
p. 413
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Automated Assessment: How Confident Are We? (Abstract)
Jonathan Allan, Nottingham Trent University
Tony Allen, Nottingham Trent University
Nasser Sherkat, Nottingham Trent University
p. 419
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Signature Verification: Benefits of Multiple Tries (Abstract)
Ramanujan Kashi, Avaya Labs Research
Winston Nelson, Bell Labs, Lucent Technologies
p. 424
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Representations and Metrics for Off-Line Handwriting Segmentation (Abstract)
Thomas M. Breuel, PARC
p. 428
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Writers Authentication and Fractal Compression (Abstract)
A. Seropian, Université de Toulon et du Var
Pr. N. Vincent, Université de Tours
p. 434
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Continuous Approach to Segmentation of Handwritten Text (Abstract)
L. M. Mestetskii, Tver State University
I. A. Reyer, Russian Academy of Sciences
T. W. Sederberg, Brigham Young University
p. 440
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Feature Sets Evaluation for Handwritten Word Recognition (Abstract)
Jose J. de Oliveira Jr., Federal University of Paraiba
Joao M. de Carvalho, Federal University of Paraiba
Cinthia O. de A. Freitas, Pontíficia Universidade Católica do Paraná
Robert Sabourin, École de Technologie Supérieure
p. 446
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Off-Line Handwritten Arabic Character Segmentation Algorithm: ACSA (Abstract)
Toufik Sari, Université Badji Mokhtar - Annaba
Labiba Souici, Université Badji Mokhtar - Annaba
Mokhtar Sellami, Université Badji Mokhtar - Annaba
p. 452
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| Posters 3 |
MOrpho-LEXical Analysis for Correcting OCR-Generated Arabic Words (MOLEX) (Abstract)
Toufik Sari, Université Badji Mokhtar - Annaba
Mokhtar Sellami, Université Badji Mokhtar - Annaba
p. 461
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Slant Correction of Handwritten Strings Based on Structural Properties of Korean Characters (Abstract)
Daekeun You, Sogang University
Gyeonghwan Kim, Sogang University
p. 467
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From Ligatures to Characters: A Shape-Based Algorithm for Handwriting Segmentation (Abstract)
Claudio De Stefano, Università di Cassino
Angelo Marcelli, Università di Salerno
p. 473
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Non Stationary DHMM Based on Line Piece of Arabic Word (PAW) Recognition Network
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Baseline Estimation For Arabic Handwritten Words (Abstract)
M. Pechwitz, Technical University Braunschweig
V. Margner, Technical University Braunschweig
p. 479
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A Data Base for Arabic Handwritten Text Recognition Research (Abstract)
Somaya Al-Ma'adeed, University of Nottingham
Dave Elliman, University of Nottingham
Colin A. Higgins, University of Nottingham
p. 485
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On-Line Recognition of Handwritten Arabic Characters Using a Kohonen Neural Network (Abstract)
Neila Mezghani, INRS-Telecommunication
Amar Mitiche, INRS-Telecommunication
Mohamed Cheriet, École de Technologie Supérieure
p. 490
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