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OCR SYSTEM FOR Mongolian

作　者: 巴雅尔
导　师: 智敏
学　校: 内蒙古师范大学
专　业: 计算机应用技术
关键词: Optical Character Recognition OCR Traditional Mongolian script histogram model
分类号: TP391.43
类　型: 硕士论文
年　份: 2012年
下　载: 1次
引　用: 0次
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内容摘要

The countries of the world also develop the documents using many kinds of scripts in different languages. Most countries use standard fonts for recognizing the typewritten materials, methods which recognize into computer text have been researched and many kinds of program for digitizing the text had been designed. The issue of recognizing the typed and typewritten materials by standard font is considered as fully decided problem. On the contrary there are few research works for the recognizing the Traditional Mongolian script. For digitizing the Traditional Mongolian script, the recognizing problem hasn’t been fully decided yet and research work has being made till now.Large amount of Mongolian printed documents need to be digitized in digital library and various applications. Traditional Mongolian script has unique writing style and multi-font type variations, which bring challenges to Mongolian OCR research. As traditional Mongolian script has some characteristics, for example, one character may be part of another character, we define the character set for recognition according to the segmented components, and the components are combined into characters by rule-based post-processing module. For character recognition, a method based on projection profile analysis, line segmentation and word segmentation is presented. For character segmentation, a scheme is used to find the segmentation point by analyzing the properties of projection and connected components. As Mongolian has different font-types which are categorized into two major groups, the parameter of segmentation is adjusted for each group. A font-type classification method for the two font-type group is introduced. For recognition of Mongolian text mixed with Chinese ad English, language identification and relevant character recognition kernels are integrated. Experiments show that the presented methods are effective. The text recognition rate is90%on the test samples from practical documents with multi-font-types and mixed scripts.

全文目录

ABSTRACT  4-5
LIST OF FIGURES  5-6
Content  6-7
Chapter 1 Introduction  7-12
  1.1 Theory and researching work part  7
    1.1.1 Purpose of work  7
    1.1.2 Set objectives in the work scope  7
    1.1.3 Novelty of the work  7
    1.1.4 Result of work  7
  1.2 Description  7-8
  1.3 Domestic and foreign research  8-12
    1.3.1 Foreign researc  8-10
    1.3.2 Domestic research status  10-12
Chapter Ⅱ Optical Character Recognition (OCR) technology  12-30
  2.1 About OCR  12-14
    2.1.1 History of the development  12
    2.1.2 The rise of OCR technology  12-13
    2.1.3 The development of OCR technology in China  13-14
  2.2 Classification of OCR technology  14-16
  2.3 Working sequence  16-30
    2.3.1 Image Acquisition  17
    2.3.2 Pre-Processing  17-20
    2.3.3 Document Page Analysi  20-22
    2.3.4 Applying ways  22-28
    2.3.5 Post-Processing  28-30
Chapter Ⅲ The OCR system of realizatio  30-44
  3.1 Feature of the Mongolian script  30-31
  3.2 Knowing the Mongolian script  31
  3.3 Processing  31-40
  3.4 Finding the location of "nuruu" of word  40-44
CONCLUSION  44-45
APPENDIX  45-46
BIBLIOGRAPHY  46-48
ACKNOWLEDGEMENTS  48

OCR SYSTEM FOR Mongolian

内容摘要

全文目录

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