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