Abou-Moustafa, K., Cheriet, M., and Suen, C.: Classification of Time-Series Data using a Generative/Discriminative Hybrid

Akiyama, T., Nishiwaki, D., Ishidera, E., Kondoh, K., Hayashi, M., Yamauchi, T.: Handwritten Address Interpretation System Allowing for Non-use of Postal Codes and Omission of Address Elements�@

Aparna, K.H., Subramanian, V., Kasirajan, M., Prakash, G.V., Chakravarthy, V.S., Madhvanath, S.: Online Handwriting Recognition for Tamil�@

Bensefia, A., Paquet, T., and Heutte, L.: Handwriting Analysis for Writer Verification

Bezine, H., Alimi, A.M. and Sherkat, N.: Generation and Analysis of Handwriting Script with the Beta-Elliptic Model�@

Bhaskarbhatla, A.S., Madhavanath, S., Kumar, P., Balasubramanian, A. and Jawahar, C.V.: Representation and Annotation of Online Handwritten Data�@

Bhattacharya, U., Vajda, S., Mallick, A., Chaudhuri, B.B., and Belaid, A.: On the Choice of Training Set, Architectures and Combination Rule of Multiple MLP Classifiers for Multiresolution Recognition of Handwritten Characters�@

Binsztok, H. and Artieres, T.: Learning HMM Structure for On-line Handwriting Modelization�@

Bishop, C.M., Svensen, M., and Hinton, G.E.: Distinguishing Text from Graphics in On-line Handwritten Ink�@

Blanchard, J., and Artieres, T.: On-Line Handwritten Documents Segmentation

Britto, A.S., Sabourin, R., Bortolozzi F., and Suen C.Y.: Foreground and Background Information in an HMM-based Method for Recognition of Isolated Characters and Numeral Strings

Carbonnel, S. and Anquetil, E.: Lexicon Organization and String Edit Distance Learning for Lexical Post-Processing in Handwriting Recognition

Chatelain, C., Heutte, L., and Paquet, T.: A syntax-directed method for numerical field extraction using classifier combination

Chen, Y. and Leedham, G.: Decompose-threshold approach to handwriting extraction in degraded historical document images�@

Chindaro,S., Sirlantzis, K., Fairhurst , M.C., and Hoque, S.: Diversity-Performance Relationship in Bit-plane Decomposition Based Handwriting Recognition System

Cho, S.-J., Oh, J., Bang, W.-C., Chang, W., Choi, E., Yang J., Cho, J., and Kim, D.Y.: MagicWand: A Hand-Drawn Gesture Input Device in 3-D Space with Inertial Sensors

Choi, H., Cho, S.J., and Kim, J.H.: Writer Dependent Handwriting Generation with Bayesian Network�@

De Stefano, C., Garruto, M., and Marcelli, A.: A saliency-based multiscale method for on-line cursive handwriting shape description:�@

Dimauro, G., Impedovo, S., and Pirlo, G.: Recent Advancements in Automatic Signature Verification�@

Ding,Y., Ohyama, W., Kimura, F., Shridhar, M.: Local Slant Estimation for Handwritten English Words�@

Fairhurst, M.C., Hoque, S., and Razian, M.A.: Automated Diagnosis of Developmental Dyspraxia Using On-line Image Analysis:�@

Fitzgerald, J.A., Geiselbrechtinger, F., and Kechadi, T.: Application of Fuzzy Logic to Online Recognition of Handwritten Symbols

Franke, K. and Rose, S.: Ink-Deposition Model: The relation of writing and ink deposition processes:�@

Franke, K., Guyon, I., Schomaker, S., and Vuurpijl, L.: Wanda ML a markup language for digital document annotation�@

Funada, A., Muramatsu, D. and Matsumoto, T.: Memory Reduction and Recognition Ratio Improvement for HMM On-line Handwriting Recognition�@

Furukawa, N., Ikeda, H., Kato, Y., and Sako, H.: The D-Pen: Digital Pen System for Enterprises�@

Guenter, S. and Bunke, H.: Combination of three classifiers with different architectures for handwritten word recognition�@

Guest, R.M.: The Repeatability of Signatures�@

Hotta, S., Kiyasu, S., and Miyahara, S.: A Classifier Based on Distance Between Test Samples and Average Patterns of Categorical Nearest Neighbors�@

Htwe, S M., Higgins, C., Leedham, G., and Yang, M.: Evaluation of Feature Sets in the Post Processing of Handwritten PitmanÕs shorthand�@

Huber, W.B., Cha, S.H., Tappert, C.C., and Hason, V.L.: Use of Chat-room abbreviations and Shorthand Symbols in Pen Computing�@

Iga, C. and Wakahara, T.: Character Image Reconstruction from a Feature Space Using Shape Morphing and Genetic Algorithms

Impedovo, S.: International Workshops on Frontiers in Handwriting Recognition: History and Prospects�@

Iwayama, N., Akiyama, K., Tanaka, H., Tamura, H. and Ishigaki, K.: Handwriting-based Learning Materials on a Tablet PC: A Prototype and its Practical Studies in an Elementary School

Jaeger, S.: Using Informational Confidence Values for Classifier Combination: An Experiment with Combined On-Line/Off-Line Japanese Character Recognition

Joshi, N., Sita, G., Ramakrishnan, A.G., and Madhavnath, S.: Comparison of elastic matching algorithms for on-line Tamil handwriting recognition

Kapp, M.N., Freitas, C.O.A., Sabourin, R.: Handwritten Brazilian Month Recognition: An Analysis of Two NN Architectures and a Rejection Mechanism

Kavallieratou,E., Stamatatos, S. and Antonopoulou, H.: Machine-Printed from Handwritten Text Discrimination

Kim, I. Multi-Window: Binarization of Camera Image for Document Recognition

Kim, J., and Ryu, S., and Kim, J.H.: Stability Measure of Entropy Estimate and Its Application to Language Model Evaluation�@

Kobayashi, T., and Nakagawa, M.: Pattern Recognition by Distributed Coding -- Test and Analysis of the Power Space Similarity Method --

Koch, G., Paquet, T., and Heutte, L.: Combination of contextual information for handwritten word recognition

Koerich, A. L.: Rejection Strategies for Handwritten Word Recognition

Koerich, A.L., Sabourin, R., and Suen, C.Y.: Fast Two--Level HMM Decoding Algorithm for Large Vocabulary Handwriting Recognition

Krishnapuram, B., Bishop C.M., and Szummer, M.: Generative Models for Shape Recognition

Lei, H., Palla, S., and Govindaraju, V.: ER^2: an Intuitive Similarity Measure for On-line Singature Verfication

Lei,Y., Liu, C.S., Ding, X.Q., and Fu, Q.: A Recognition-Based System for Segmentation of Touching Handwritten Numeral Strings

Li,Y-X. and Tan, C.L.: An Empirical Study of Statistical Language Models for Contextual Post-processing of Chinese Script Recognition�@

Lindwurm, R., and Rottland, J.: Boosting Driven by Error Free Regions

Liu, C-L., and Marukawa, K.: Normalization Ensemble for Handwritten Character Recognition�@

Liu, C-L., and Marukawa, K.: Global Shape Normalization for Handwritten Chinese Character Recognition: A New Method

Liu, N., Lovell, B.C., Kootsookos, P.J., and Davis, R.I.A.: Model Structure Selection Training Algorithms for an HMM Gesture Recognition System

Liu, X.Y. and Blumenstein, M.: Experimental Analysis of the Modified Direction Feature for Cursive Character Recognition

Madduri, K., Aparna, K.H. and Chakravarthy, V.S.: PATRAM - A Handwritten Word Processor for Indian Languages

Marukatat, S., Artieres, T.: Handling spatial information in on-line handwriting recognition�@

Marukatat, S., Artieres, T., Gallinari, P.: A generic approach for on-line handwriting recognition�@

Methasate, I., and Sae-Tang, S.: The Clustering Technique for Thai Handwritten Recognition

Milgram, J., Cheriet, M. and Sabourin, R.: Speeding Up the Decision Making of Support Vector Classifiers�@

Mitobe,Y., Miyao,H., and Maruyama,M.: A Fast HMM Algorithm Based on Stroke Lengths for On-line Recognition of Handwritten Music Scores

Mitoma, H., Uchida, S., and Sakoe, H.: Online Character Recognition Using Eigen-Deformations�@

Morita, M., Oliveira, L. S., and Sabourin, R.: Unsupervised Feature Selection for Ensemble of Classifiers�@

Nagasaki,T., Takahashi, T., and Marukawa, K.: Document Retrieval System Tolerant of Segmentation Errors of Document Images�@

Nakamura, A.: A Method to Accelerate Writer Adaptation for On-Line Handwriting Recognition of a Large Character Set�@

Nicolas, S., Paquet, T., and Heutte, L.: Text Line Segmentation in Handwritten Documents using a Production System�@

Nunes, C., Britto, A.S., Kaestner, C.A.A., and Sabourin, R.: An Optimized Hill Climbing Algorithm for Feature Subset Selection: Evaluation on Handwritten Character Recognition�@

Oda, H., Kitadai, A., Onuma, M., and Nakagawa, M.: A search method for on-line handwritten text employing writing-box-free handwriting recognition�@

Oh, J.K., Cho, S-J., Bang, W-C., Chang, W., Choi, E., Yang, J., Cho, J., and Kim, D.Y.: Inertial Sensor Based Recognition of 3-D Character Gestures with an Ensemble of Classifiers�@

Oliveira, L.S. and Sabourin, R.: Support Vector Machines for Handwritten Numerical String Recognition�@

Oudot, L., Prevost, L., and Milgram, M.: An activation-verification model for on-line texts recognition�@

Oudot, L., Prevost, L., and Moises, A.: Self-supervised adaptation for on-line text recognition�@

Palla, S., Lei, H., and Govindaraju, V.: Signature and Lexicon Pruning Techniques�@

Rossignol, S., Vuurpijl, L., and Neumann, A.: Mode detection and incremental recognition�@

Roy, K., Pal, U., Vajda, S., and Chaudhuri, B.B.: A System towards Indian Postal Automation�@

Rusu, A., and Govindaraju, V.: Handwritten CAPTCHA: Using the difference in the abilities of humans and machines in reading handwritten words�@

Sadri, J., Suen, C.Y., and Bui, T.D.: Automatic Segmentation of Unconstrained Handwritten Numeral Strings�@

Sakata, T., Nishii, R. Chin, T.S., and Sawae,R.: A new series of rotation invariant moments derived by Lie trahsformation group theory�@

Santos, C., Justino, E.J.R., Bortolozzi, F., and Sabourin, R.: An Off-Line Signature Verification Method Based on Document Questioned ExpertÕs Approach and a Neural Network Classifier�@

Schambach, M.P.: A New View of the Output from Word Recognition�@

Schlapbach, A., and Bunke, H.: Using HMM Based Recognizers for Writer Identification and Verification�@

Schomaker, L.R.B., Bulacu, M., Franke, F.: Automatic Writer Identification Using Fragmented Connected-Component Contours�@

Shi, M., Ohyama, W., Wakabayashi, T., and Kimura, F.: A study on decision rule for Japanese dictation test�@

Shilman, M., Viola, P., and Chellapilla, K.: Recognition and Grouping of Handwritten Text in Diagrams and Equations�@

Srihari, S., Xu, A., and Kalera, M.: Learning Strategies and Classification Methods for Off-line Signature Verification�@

Suwa, M and Naoi, S.: Segmentation of Handwritten Numerals by Graph Representation�@

Szummer, M., and Qi, Y.: Contextual Recognition of Hand-drawn Shapes with Conditional Random Fields�@

Tang, H., Augustin, E., Suen, C.Y., Baret, O., and Cheriet, M.: Spiral Recognition Methodology and Its Application for Recognition of Chinese Bank Checks�@

Terai, T., and Mizuno, S., and Okada, M.: Base Color Recognition by Tetragonal Regression for Overlapped Watercolors�@

Tripathy ,N. and Pal, U.: Handwriting Segmentation of Unconstrained Oriya Text�@

Varga, T. and Bunke, H.: Comparing Natural and Synthetic Training Data for Off-line Cursive Handwriting Recognition

Vinciarelli, A.: Effect of recognition errors on information retrieval performance:�@

Vuurpijl, L., Niels, R., van Erp, M., Schomaker, L., and Ratzlaff, G.: Verifying the UNIPEN devset�@

Wang, C., Hotta, Y., Suwa, M., and Naoi, S.: Handwritten Chinese Address Recognition�@

Wang, S., and Ding, X.: An Effective Writer Verification Method Using Forgery Samples�@

Wirotius, M., Ramel, J-Y., and Vincent, N.: Selection of points for on-line signature comparison�@

Yang, Y., and Nakagawa, M.: Improving the Structuring Search Space Method for Accelerating Large Set Character Recognition�@

Ye, M., and Viola, P.: Learning to Parse Hierarchical Lists and Outlines using Conditional Random Fields�@

Yu, Q. and Yasuhara, M.: Recovering Dynamic Information from Static Handwritten Images�@

Zhang, G-Y., Li, J-J., He, R-W., and Wang, A-X.: An off-line recognition method of handwritten primitive Manchu characters which based on strokes�@

Zhang, P., Bui, T.D., and Suen, C.Y.: Extraction of Hybrid Complex Wavelet Features for the Verification of Handwritten Numerals�@

Zimmermann M., and Bunke, H.: N-Gram Language Models for Offline Handwritten Text Recognition�@