DocumentCode :
3019542
Title :
A form dropout method based on line-elimination and image-subtraction
Author :
Shima, Yoshihiro ; Ohya, Hiroshi ; Yasuda, Michio
Author_Institution :
Fac. of Phys. Sci. & Eng., Meisei Univ., Tokyo, Japan
fYear :
2005
fDate :
29 Aug.-1 Sept. 2005
Firstpage :
126
Abstract :
A method of preprint elimination for form images is proposed. Form images have fixed parts, such as character strings and lines. These fixed parts are known as preprint, which are not used for data entry. This dropout method is based on image subtraction and line elimination for distorted images. The location, rotation and magnification are modified for distorted form images. Character patterns and short ruled lines are eliminated by subtraction of bitmap template images. Long ruled lines are extracted and directly eliminated by using run data.
Keywords :
business forms; data compression; document image processing; bitmap template image; character line elimination; character pattern; character string; form dropout method; form image preprint elimination; image distortion; image-subtraction; Banking; Data compression; Data mining; Government; Image coding; Image processing; Informatics; Insurance; Optical character recognition software; Pixel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition, 2005. Proceedings. Eighth International Conference on
ISSN :
1520-5263
Print_ISBN :
0-7695-2420-6
Type :
conf
DOI :
10.1109/ICDAR.2005.9
Filename :
1575523
Link To Document :
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