A Form Dropout Method based on Line-elimination and Image-subtraction

Authors:
Yoshihiro Shima;Hiroshi Ohya;Michio Yasuda
Affiliations:
Physical Sciences and Engineering, Meisei University;Faculty of Informatics, Meisei University;Faculty of Informatics, Meisei University
Venue:
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Year:
2005

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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 called 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.