NDLI: Comparison of shape-based and stroke-based methods for segmenting handwritten Chinese characters

Content Provider	IEEE Xplore Digital Library
Author	Jian Yang Han Zhang Mark Dencler Chao Lu
Copyright Year	2005
Description	Author affiliation: Dept. of Comput. & Inf. Sci., Towson Univ., MD, USA (Jian Yang; Han Zhang; Mark Dencler; Chao Lu)
Abstract	The segmentation of handwritten Chinese text into Chinese characters is an important preprocessing step to the offline Chinese character recognition. It is also a very difficult task due to so many Chinese characters and their handwritten structures can be very complex. Many researchers have developed various algorithms during the past decade by Darning Shi, R. I. Damper, S. R. Gunn (2003), L.Y. Tseng, C.T. Chuang (1997), L.Y. Tseng, R.C. Chen (1997), Feng Lin, Xiaoou Tang (2002), Han Zhang, Chao Lu (2004), S.Y. Zhao, Z.R. Chi, P.F. Shi and Q. Wang (2001). In this paper, we compare two of the existing algorithms. The first one is spatial shape-based algorithm proposed by Han Zhang, Chao Lu (2004), which segments the character strings into radicals, not dealing with stroke identification. The second algorithm is stroke-based by L.Y. Tseng, C.T. Chuang (1997), L.Y. Tseng, R.C. Chen (1997), Feng Lin, Xiaoou Tang (2002), which traces each stroke and draws the stroke-bounding box, then merges the boxes by a set of rules. Based on the algorithms presented by L.Y. Tseng, C.T. Chuang (1997), L.Y. Tseng, R.C. Chen (1997), Feng Lin, Xiaoou Tang (2002), Han Zhang, Chao Lu (2004), we wrote C++ programs for time complexity, accuracy performance comparisons using different handwritten Chinese character texts. Our experimental result shows that the spatial shape-based algorithm by Han Zhang, Chao Lu (2004) is faster and more accurate.
Starting Page	114
Ending Page	119
File Size	287612
Page Count	6
File Format	PDF
ISBN	0769522963
DOI	10.1109/ICIS.2005.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-07-14
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Image segmentation Computer vision Dynamic programming Chaos Image processing Writing Joining processes Data mining Merging image processing Segmentation character recognition computer vision
Content Type	Text
Resource Type	Article

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