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. The experimental results on the test set show a highly significant improvement of the recognition performance to more than 86%. Key Features • Introduces the field of automatic handwriting recognition by computer • Addresses a relatively new task, which is the reading of notes written on a whiteboard; this task has never been addressed in any books before • Includes a description of several recognizers developed by the authors, as well as a brief introduction to two commercial recognition engines (by Microsoft and Vision Objects) • Parts of the book are also accessible to non-experts, newcomers to the field, and students

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