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
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;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.619816