SEGMENTATION OF HANDWRITTEN CHINESE CHARACTERS FROM DESTINATION ADDRESSES OF MAIL PIECES

Author:

LU YUE12,TAN CHEW LIM1,SHI PENGFEI2,ZHANG KEHUA2

Affiliation:

1. Department of Computer Science, School of Computing, National University of Singapore, Singapore 119260, Singapore

2. Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai 200030, China

Abstract

In this paper, we illustrate a method to segment handwritten Chinese characters from destination addresses of mail pieces. Fast Hough transform is utilized to detect the reference lines preprinted on the mail piece. In the segmentation, subassemblies of Chinese characters are merged based on the structural features of Chinese characters and the subassemblies' topological relations, viz. upper–lower, inside–outside and left–right relations. The width of subassemblies and the spacing between neighboring subassemblies in the whole image of the destination address are analyzed to guide the merging of the left–right subassemblies. Experimental results with real mail piece images show that the proposed approach has achieved a promising performance for segmenting handwritten Chinese characters.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Text field extraction from camera-captured express images;Eleventh International Conference on Graphics and Image Processing (ICGIP 2019);2020-01-03

2. Inverse Kinematics of NAO’s Right Arm towards its Handwriting a Chinese Character Based on Corner Detection of Character Template;Applied Mechanics and Materials;2014-04

3. Handwritten Chinese/Japanese Text Recognition Using Semi-Markov Conditional Random Fields;IEEE Transactions on Pattern Analysis and Machine Intelligence;2013-10

4. A Chinese Character Localization Method Based on Intergrating Structure and CC-Clustering for Advertising Images;2011 International Conference on Document Analysis and Recognition;2011-09

5. Segmentation of Chinese Postal Envelope Images for Address Block Location;Advances in Visual Computing;2009

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