Title :
Form document identification using line structure based features
Author :
Fan, Kuo-Chin ; Chang, Mei-Lin
Author_Institution :
Inst. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-Li, Taiwan
Abstract :
We present a novel form recognition method by analyzing the line structure embedded in an input form document. First, all vertical and horizontal lines embedded in the form image are extracted. Experimental results demonstrate the feasibility and efficiency of our proposed method in recognizing form documents
Keywords :
character recognition; document image processing; feature extraction; pattern matching; character recognition; feature extraction; form document identification; form recognition; horizontal lines; line structure; matrix matching; vertical lines; Character generation; Character recognition; Computer science; Data mining; Filling; Humans; Image segmentation; Office automation; Pattern recognition; Read only memory;
Conference_Titel :
Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-8186-8512-3
DOI :
10.1109/ICPR.1998.711885
