DocumentCode :
438972
Title :
A novel segmentation method of handwritten Chinese number character strings
Author :
Qiang, Cheng ; Yu-Jun, Sun ; De-Shen, Xia
Author_Institution :
Dept. of Comput., Nanjing Univ. of Sci. & Technol., China
Volume :
2
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
1123
Abstract :
In this paper, a two-stage approach consisting of coarse and fine segmentation is adopted. For the characters, whose vertical projections combine together, but they don´t connected themselves, we confine them in a window and segment them with a curve line which is acquired by connecting all the middle points in sequence. For the characters connected only by one stroke, firstly we find the candidate segmentation points on the candidate stroke in the image of the thinned character, and then determine the optimal point evaluated by the principles which are presented in this paper. The method mentioned above has been applied to the segmentation of Chinese bank check amounts and get good results.
Keywords :
handwritten character recognition; image segmentation; Chinese bank check amounts; candidate segmentation points; handwritten Chinese number character strings; novel image segmentation; Character recognition; Dynamic programming; Handwriting recognition; Image segmentation; Joining processes; Merging; Postal services; Skeleton; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1469002
Filename :
1469002
Link To Document :
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