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Introduction

  • Tonghua Su
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

Chinese character recognition, as an attractive toolset for Chinese digital library projects, has been drawing intense attention. The Chinese character system is used for communication and has served various political purposes in China, having played an important role in the development of Chinese civilization for over 3000 years. Thus, there are a large number of invaluable archives and documents recorded in Chinese, awaiting conversion as readable text for worldwide sharing. As an indispensable branch, Chinese handwriting recognition has been viewed as one of the most difficult pattern recognition tasks that pose its own unique challenges, such as huge variations in strokes, diversity of writing styles, and a large set of confusable categories. With ever-increasing amounts of training data, researchers have been developing effective algorithms to discern characters from different categories and compensate for the sample variations within the same category. With the help of their efforts, substantial achievements have been made in the field of Chinese handwriting recognition. In this book, essential algorithms for effective Chinese handwriting recognition are presented.

Keywords

Recognition Rate Chinese Character Character Recognition Text Line Optical Character Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© The Author(s) 2013

Authors and Affiliations

  • Tonghua Su
    • 1
  1. 1.Computer ScienceHarbin Institute of Technology, ChinaHarbinPeople’s Republic of China

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