Advances in Character Recognition

Explore the dynamic field of character recognition with this comprehensive book, which delves into a wide range of topics covering different aspects of character recognition technology. Character recognition, the process of enabling computers to recognize written or printed characters such as numbers or letters and convert them into a usable form, plays a crucial role in enhancing the processing of scanned images and extracting text content from various data fields automatically. Despite its relatively short history compared to letter recognition research, significant progress has been made in recent decades, although our understanding of character processing remains limited compared to letter recognition. This book presents advances in character recognition, offering insights into handwritten character recognition, metasets, support vector machine (SVM) classifiers, personal character recognition, genetic algorithms, cursive character recognition, letter properties, and character degradation models. From basic principles to complex practices, the book covers a wide range of topics, providing comprehensive insights into the field. Written in a coherent and student-friendly language, the book employs extensive examples to facilitate understanding and learning. As character recognition technology continues to evolve rapidly, this book serves as an invaluable resource for students seeking to understand modern concepts and techniques in the field. Whether you're a researcher, student, or enthusiast in character recognition technology, this book provides essential knowledge and practices for advancing your understanding of this evolving field.

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