In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way.
This book covers:
- Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR)
- The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons
- Evaluating extracted features, both structural and statistical
- Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods
- An overview of word and string recognition methods and techniques
- Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results