| 8:15 | Lambert Schomaker | Opening Statements | |
| 8:30 | prof. Th. Pavlidis | Invited Lecture | Recollections of Conversations with Professor J.C.Simon |
| 9:15 | Daniel Lopresti and Gordon Wilfong | Cross-Domain Searching Using Handwritten Queries
| 9:40
| Vuokko Vuori, Matti Aksela, Jorma Laaksonen, Erkki Oja and Jari Kangas
| Adaptive Character Recognizer for a Hand-held Device: Implementation and Evaluation Setup
| 10:05
| Masahiko Hamanaka and Keiji Yamada
| On-line Character Recognition Adaptively Controlled by Handwriting Quality
| 10:30
| Coffee
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| 10:50 | Eugene Ratzlaff | Inter-line Distance Estimation and Text Line Extraction for Unconstrained Online Handwriting
| 11:15
| Soo Hyung Kim, Seon H. Jeon and Hee K. Kwag
| Line removal and character restoration using BAG representation of form images
| 11:40
| Yimei Ding, Fumitaka Kimura, Yasuji Miyake and Malayappan Shridhar
| Slant Estimation for Handwritten Words by Directionally Refined Chain Code
| 12:05
| Xiangyun Ye, Ching Y. Suen and Mohamed Cheriet
| A generic system to extract and clean handwritten data from business forms
| 12:30
| Katrin Franke and Mario Köppen
| A framework for document pre-processing in forensic handwriting analysis
| 12:55
| Lunch
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| 14:00 | Santhosh Shetty, M. Shridhar and Gilles Houle | Background Elimination in Bank Checks Using Grey-scale Morphology
| 14:25
| T. Artières, J-M. Marchand, P. Gallinari and B. Dorizzi
| Stroke Level Modelling of On Line Handwriting through Multi-modal Segmental Models
| 14:50
| Gyeonghwan Kim and Sekwang Kim
| Feature Selection using Genetic Algorithms for Handwritten Character Recognition
| 15:15
| F. Grandidier, R. Sabourin, C.Y. Suen and M. Gilloux
| A New Strategy for improving Feature Sets in a Discrete HMM-based Handwriting Recognition System
| 15:40
| Tea
| | ||||
| 16:00 | Hiroshi Sako, Tastuhiko Kagehiro, Horomichi Fujisawa | On the Rejection Ability Required in Multiple Hypothesis Techniques
| 16:25
| Kenichi Maruyama and Yasuaki Nakano
| Recognition Method for Cursive Japanese Word Written in Latin Characters
| 16:50
| V. Di Lecce, G. Dimauro, A. Guerriero, S. Impedovo, G. Pirlo and A. Salzo
| Classifier Combination: The Role of A-priori Knowledge
| 17:15
| K. Ianakiev and V. Govindaraju
| Improvement of Recognition Accuracy using 2-stage Classification
| 17:40
| F. Wang, L. Vuurpijl and L. Schomaker
| Support Vector Machines for the classification of Western Handwritten Capitals
| 18:05
| End
| | ||||
| 8:15 | Lambert Schomaker | Opening Statements |
| 8:30 | Jie Zhou, Adam Krzyzak and Ching Y. Suen | Recognition and Verification of Touching Handwritten Numerals
| 8:55
| Donald P. d'Amato, Edward J. Kuebert and Alfred Lawson
| Results from a Performance Evaluation of Handwritten Address Recognition Systems for the United States Postal Service
| 9:20
| V. Di Lecce, G. Dimauro, A. Guerriero, S. Impedovo, G. Pirlo and A. Salzo
| A New Hybrid Approach for Legal Amount Recognition
| 9:45
| Coffee
| | ||||
| 10:15 | W. Wang, A. Brakensiek, A. Kosmala and G. Rigoll | HMM based high accuracy off-line cursive handwriting recognition by a baseline detection error tolerant feature extraction approach
| 10:40
| Sung J. Cho, Jahwan Kim and Jin H.Kim
| Verification of Graphemes using Neural Networks in HMM based On-line Korean Handwriting Recognition
| 11:05
| Michael P. Perrone and Scott D. Connell
| k-Means Clustering for Hidden-Markov Models
| 11:30
| Jay J. Lee, Jahwan Kim and Jin H. Kim
| Data Driven Design of HMM Topology for On-line Handwriting Recognition
| 11:55
| S. Jäger, S. Manke and A. Waibel
| NPen++: An On-line Handwriting Recognition System
| 12:20
| Lunch
| | ||||
| 13:30 | L. Schomaker, D. Mangalagiu, L. Vuurpijl and M. Weinfeld | Two tree-formation methods for fast pattern search using nearest-neighbour and nearest-centroid matching
| 13:55
| Tsuyoshi Fukumoto, Tetsushi Wakabayashi, Fumitaka Kimura and Yasuji Miyake
| Accuracy Improvement of Handwritten Character Recognition by GLVQ
| 14:20
| Minoru Mori, Akira Suzuki, Akio Shio and Sakuichi Ohtsuka
| Generating new samples from handwritten numerals based on point correspondence
| 14:45
| Attended Poster Session*
| 15:30
| Afternoon Programme
| then:
| Banquet
| | ||||||||||||
| 8:15 | Lambert Schomaker | Opening Statements | |
| 8:30 | dr. A.W. Hendriks | Invited Lecture | Reading Research in Motion |
| 9:15 | S. Jäger | On the Complexity of Cognition
| 9:40
| P. Lallican, C. Viard-Gaudin and S. Knerr
| From Off-line to On-line Handwriting Recognition
| 10:05
| Alain Lifchitz and Frederic Maire
| A Fast Lexically Constrained Viterbi Algorithm for On-line Handwriting Recognition
| 10:30
| Coffee
| | ||||
| 10:50 | Alceu de S. Britto Jr., Robert Sabourin, Edouard Lethelier, Flavio Bortolozzi and Ching Y. Suen | Improvement in Handwritten Numeral String Recognition by Slant Normalization and Contextual Information
| 11:15
| Sung-Hyuk Cha and Sargur Srihari
| Multiple Feature Integration for Writer Identification
| 11:40
| A. Brakensiek, J. Rottland, A. Kosmala and G. Rigoll
| Off-line handwriting recognition using various hybrid modeling techniques and character n-grams
| 12:05
| Predrag Neskovic and Leon N. Cooper
| Neural Network-based Context Driven Recognition of On-line Cursive Script
| 12:30
| C. Scagliola, G. Nicchiotti and F. Camastra
| Enhancing cursive word recognition performance by the integration of all the available information
| 12:55
| Lunch
| | ||||
| 14:00 | Didier Guillevic, Daisuke Nishiwaki and Keiji Yamada | Word Lexicon Reduction by Character Spotting
| 14:25
| John F. Pitrelli and Eugene H. Ratzlaff
| Quantifying the Contribution of Language Modelling to Writer-independent Online Handwriting Recognition
| 14:50
| Wen-Tsong Chen and Paul Gader
| Word Level Discriminative Training for Handwritten Word Recognition
| 15:15
| Jaehwa Park and Venu Govindaraju
| Active Handwritten Word Recognition
| 15:40
| Tea
| | ||||
| 16:00 | L. Heutte, T. Paquet, A. Nosary and C. Hernoux | Handwritten Text Recognition using a Multiple-agent Architecture to Adapt the Recognition Task
| 16:25 | L. Vuurpijl and L. Schomaker
| Two-stage character classification: A combined approach of clustering and Support Vector Classifiers
| 16:50 | Jin Ho Kim, Kye Kyung Kim and Ching Y. Suen
| Hybrid Schemes of Homogeneous and Heterogeneous Classifiers for Cursive Word Recognition
| 17:15 | M. van Erp and L. Schomaker
| Variants of the Borda count method for combining ranked classifier hypotheses
| 17:40
| Panel Discussion / Closing
| | ||||