The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

The survey of automatic character recognition techniques covered in this report has been conducted over a period of several years by teams of National Bureau of Standards personnel including, at various times, S. N. Alexander [and 10 others]. Much of the information herein was obtained through the courtesy of personnel of other organizations, especially those which are engaged in the design and development of reader devices.

Excerpt from Automatic Character Recognition: A State-of-the-Art Report Such techniques promise major advantages in a wide variety of data processing and data handling situations, specifically including thos-e of mechanized information selection systems and mechanized translation. These potential advantages include reductions in manpower requirements as well as reductions of errors and inaccuracies found in manual data transcription operations. This report incorporates the results of a fact-finding survey of automatic character reading techniques which was conducted by the National Bureau of Standards for the Rome Air Development Center in the period 1956-1957. The earlier survey has been extended and supplemented by study of the available literature, by continuing inspections of character reader devices, and by periodic discussions with research and development personnel interested in automatic character recognitiontechniques. The purpose of this report is therefore to review current developments in the-field of character recognition, with emphasis upon actual devices designed to identify printed or typed information. About the Publisher Forgotten Books publishes hundreds of thousands of rare and classic books. Find more at www.forgottenbooks.com This book is a reproduction of an important historical work. Forgotten Books uses state-of-the-art technology to digitally reconstruct the work, preserving the original format whilst repairing imperfections present in the aged copy. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in our edition. We do, however, repair the vast majority of imperfections successfully; any imperfections that remain are intentionally left to preserve the state of such historical works.

Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.