Recognition of whiteboard notes : online, offline and combination /

"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 meet...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Liwicki, Marcus
Otros Autores: Bunke, Horst
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; Hackensack, NJ : World Scientific, ©2008.
Colección:Series in machine perception and artificial intelligence ; v. 71.
Temas:
Optical pattern recognition.
Writing > Data processing.
Interactive whiteboards.
Image processing > Digital techniques.
Reconnaissance optique des formes (Informatique)
Écriture > Informatique.
Tableaux blancs interactifs.
Traitement d'images > Techniques numériques.
digital imaging.
COMPUTERS > Computer Vision & Pattern Recognition.
COMPUTERS > Optical Data Processing.
Image processing > Digital techniques
Interactive whiteboards
Optical pattern recognition
Writing > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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