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New Technology of Library and Information Service  2010, Vol. 26 Issue (3): 82-85    DOI: 10.11925/infotech.1003-3513.2010.03.14
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A Method of Characters Segmentation and Its Application in Digital Textual Material Repairment
Wang Wenzhe
(Library of Xi' an International Studies University, Xi' an 710128, China)
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Abstract  

In this paper, the model of repairing digital textual material is studied firstly. In order to accurately extract each single character from English textual material, a segmentation method based on projection and characters connectivity is presented. Experimental results show that this method is effective and practical, which can be used to extract each Chinese character because of its extendibility.

Key wordsMaterial repairment      Digital textual image      Characters segmentation      Digital library     
Received: 29 January 2010      Published: 25 March 2010
: 

TP391 

 
     
  G253

 
Corresponding Authors: Wang Wenzhe     E-mail: wwz_sophia@126.com
About author:: Wang Wenzhe

Cite this article:

Wang Wenzhe. A Method of Characters Segmentation and Its Application in Digital Textual Material Repairment. New Technology of Library and Information Service, 2010, 26(3): 82-85.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2010.03.14     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2010/V26/I3/82

[2] 夏勇,戴汝为,肖柏华, 等. 基于OCR与词形状编码的英文扫描文档检索[J]. 模式识别与人工智能, 2009,22(3): 488-493.
[3] Tan C L, Huang W H, Yu Z H, et al. Imaged Document Text Retrieval Without OCR[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(6):838-844.
[4] Casey R G, Lecolinet E. A Survey of Methods and Strategies in Character Segmentation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996,18(7):690-706.
[5] Harvey A L. Handwritten Character Segmentation Issues[C]. In:Proceedings of International Symposium on Signal Processing and Its Applications, Gold Coast, Australia.1996:581-584.
[6] Zhang Y G, Zhang C S.A New Algorithm for Character Segmentation of License Plate[C]. In:Proceedings of IEEE Intelligent Vehicles Symposium.2003:106-109.
[7] Guo J M, Liu Y F.License Plate Localization and Character Segmentation With Feedback Self-learning and Hybrid Binarization Techniques[J]. IEEE Transactions on Vehicular Technology, 2008, 57(3):1417-1424.
[8] Sagar B M, Shobha G, Ramskanth Kumar P.Character Segmentation Algorithms for Kannada Optical Character Recognition[C]. In:Proceedings of the 2008 International Conference on Wavelet Analysis and Pattern Recognition, Hong Kong.2008:339-342.
[9] Lee S W, Lee D J, Park H S.A New Methodology for Gray-scale Character Segmentation and Recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996,18(10):1045-1050.
[10] Dunn C E, Wang  P S P.Character Segmentation Techniques for Handwritten Text-A Survey[C].In:Proceedings of the 11th International Conference on Pattern Recognition.1992:577-580.
[11] Tse J, Jones C, Curtis D, et al. An OCR-Independent Character Segmentation Using Shortest-Path in Grayscale Document Images[C]. In:Proceedings of the 6th International Conference on Machine Learning and Applications. Washington, DC, USA :IEEE Computer Society,2007:142-147.
[12] Soile P.形态学图像分析原理与应用 [M]. 王小鹏,等译.2版.北京:清华大学出版社,2008.
[13] Mancas-Thillou C, Gosselin B. Character Segmentation-by-Recognition Using Log-Gabor Filters[C]. In:Proceedings of the 18th International Conference on Pattern Recognition.2006: 901-904.
[14] Bovik A. Handbook of Image and Video Processing [M].北京: 电子工业出版社, 2006.

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