DocumentCode :
1582978
Title :
Form frame line detection with directional single-connected chain
Author :
Zheng, Yefeng ; Liu, Changsong ; Ding, Xiaoqing ; Pan, Shiyan
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
699
Lastpage :
703
Abstract :
In this paper, a novel form frame line detection algorithm is proposed based on the directional single-connected chain (DSCC). Defined as an array of black pixel run-lengths, DSCC works very well as an image structure element or vector in our vectorization algorithm. By merging multiple DSCCs under some constraints, we are able to extract the form frame lines automatically yet fast. The speed of our algorithm is comparable with some well-known projection methods. Experiments show that our algorithm is fast, resistant to moderate serious line breaks and can detect diagonal lines with any angle
Keywords :
business forms; document image processing; merging; optical character recognition; OCR; black pixel run-lengths; character size; directional single-connected chain; document image processing; experiments; form frame line detection; image structure; line breaks; merging; office forms; vectorization algorithm; Acceleration; Detection algorithms; Merging; Object detection; Pixel; Postal services; Projection algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2001. Proceedings. Sixth International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7695-1263-1
Type :
conf
DOI :
10.1109/ICDAR.2001.953880
Filename :
953880
Link To Document :
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