Multi-font printed Mongolian document recognition system

Liangrui Peng; Changsong Liu; Xiaoqing Ding; Hua Wang; Jianming Jin

doi:10.1117/12.805864

19 January 2009 Multi-font printed Mongolian document recognition system

Liangrui Peng, Changsong Liu, Xiaoqing Ding, Hua Wang, Jianming Jin

Proceedings Volume 7247, Document Recognition and Retrieval XVI; 72470J (2009) https://doi.org/10.1117/12.805864
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States

Abstract

Mongolian is one of the major ethnic languages in China. 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 visual directional feature and multi-level classifiers 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 and English, language identification and relevant character recognition kernels are integrated. Experiments show that the presented methods are effective. The text recognition rate is 96.9% on the test samples from practical documents with multi-font-types and mixed scripts.

Citation Download Citation

Liangrui Peng, Changsong Liu, Xiaoqing Ding, Hua Wang, and Jianming Jin "Multi-font printed Mongolian document recognition system", Proc. SPIE 7247, Document Recognition and Retrieval XVI, 72470J (19 January 2009); https://doi.org/10.1117/12.805864

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available