| Description |
1 online resource (xx, 206 pages) : illustrations |
| Series |
Series in machine perception and artificial intelligence ; v. 71 |
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Series in machine perception and artificial intelligence ; v. 71.
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| Contents |
1. Introduction. 1.1. Motivation. 1.2. Handwriting recognition. 1.3. Comparability of recognition results. 1.4. Related topics. 1.5. Contribution. 1.6. Ouline -- 2. Classification methods. 2.1. Hidden Markov models. 2.2. Neural networks. 2.3. Gaussian mixture models. 2.4. Language models -- 3. Linguistic resources and handwriting databases. 3.1. Linguistic resources. 3.2. IAM offline database. 3.3. IAM online database -- 4. Offline approach. 4.1. System description. 4.2. Enhancing the training set. 4.3. Experiments. 4.4. Word extraction. 4.5. Conclusions -- 5. Online approach. 5.1. Line segmentation. 5.2. Preprocessing. 5.3. Features. 5.4. HMM-based experiments. 5.5. Experiments with neural networks. 5.6. Conclusions and discussion -- 6. Multiple classifier combination. 6.1. Methodology. 6.2. Recognition systems. 6.3. Initial experiments. 6.4. Experiments with all recognition systems. 6.5. Advanced confidence measures. 6.6. Conclusions -- 7. Writer-dependent recognition. 7.1. Writer identification. 7.2. Writer-dependent experiments. 7.3. Automatic handwriting classification. 7.4. Conclusions -- 8. Conclusions. 8.1. Overview of recognition systems. 8.2. Overview of experimental results. 8.3. Concluding remarks. 8.4. Outlook |
| Summary |
"This book addresses the task of processing online handwritten notes acquired from an electronic whiteboard, which is a new modality in handwriting recognition research. The main motivation of this book is smart meeting rooms, aim to automate standard tasks usually performed by humans in a meeting." "The book can be summarized as follows. A new online handwritten database is compiled, and four handwriting recognition systems are developed. Moreover, novel preprocessing and normalization strategies are designed especially for whiteboard notes and a new neural network based recognizer is applied. Commercial recognition systems are included in a multiple classifier system."--Jacket |
| Bibliography |
Includes bibliographical references (pages 191-204) and index |
| Notes |
Print version record |
| Subject |
Optical pattern recognition.
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Writing -- Data processing
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Interactive whiteboards.
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Image processing -- Digital techniques.
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digital imaging.
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COMPUTERS -- Computer Vision & Pattern Recognition.
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COMPUTERS -- Optical Data Processing.
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Image processing -- Digital techniques
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Interactive whiteboards
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Optical pattern recognition
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Writing -- Data processing
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| Form |
Electronic book
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| Author |
Bunke, Horst
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| ISBN |
9789812814548 |
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981281454X |
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