DocumentCode
2058263
Title
The recognition of form documents based on three types of line segments
Author
Tseng, Lin Yu ; Chen, Rung-Ching
Author_Institution
Dept. of Appl. Math., Nat. Chung-Hsing Univ., Taichung, Taiwan
Volume
1
fYear
1997
fDate
18-20 Aug 1997
Firstpage
71
Abstract
Almost all form documents contain line segments. We propose an efficient method to recognize the form document that contains at least one line segment. Our method is based on an efficient representation model of the form. The representation model uses three types of line segments to represent a form. All line segments are normalized and sorted after they are extracted. The normalization and sorting not only solve the problems of magnification and contraction but also provide a unified and efficient way of matching between forms. To make the recognition method more robust, fuzzy matching is used. Experimental results show the effectiveness and efficiency of the method
Keywords
business forms; document image processing; feature extraction; fuzzy set theory; image matching; automatic form processing; contraction; data extraction; document analysis; form document recognition; fuzzy matching; line segment extraction; magnification; normalization; representation model; sorting; Data mining; Image recognition; Image segmentation; Intelligent systems; Mathematics; Neural networks; Pattern recognition; Robustness; Sorting; Text analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location
Ulm
Print_ISBN
0-8186-7898-4
Type
conf
DOI
10.1109/ICDAR.1997.619816
Filename
619816
Link To Document