TY - GEN
T1 - Form document identification using line structure based features
AU - Fan, Kuo Chin
AU - Wang, Yuan Kai
AU - Chang, Mei Lin
N1 - Publisher Copyright:
© 2001 IEEE.
PY - 2001
Y1 - 2001
N2 - Form recognition is one of the special applications of Document Analysis (DA). In this paper, we will 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. By analyzing the crossing relationships among horizontal lines and vertical lines, a line crossing relationship matrix can be built with each row corresponding to one horizontal line and each column corresponding to one vertical line. Moreover, two line distance relationship matrices, horizontal and vertical line distance relationship matrices, are built by analyzing the distance relationships among horizontal lines and vertical lines, respectively. Last, the recognition task is performed by matching these three matrices. Experimental results reveal the feasibility and efficiency of our proposed method in recognizing form documents.
AB - Form recognition is one of the special applications of Document Analysis (DA). In this paper, we will 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. By analyzing the crossing relationships among horizontal lines and vertical lines, a line crossing relationship matrix can be built with each row corresponding to one horizontal line and each column corresponding to one vertical line. Moreover, two line distance relationship matrices, horizontal and vertical line distance relationship matrices, are built by analyzing the distance relationships among horizontal lines and vertical lines, respectively. Last, the recognition task is performed by matching these three matrices. Experimental results reveal the feasibility and efficiency of our proposed method in recognizing form documents.
UR - http://www.scopus.com/inward/record.url?scp=71249147473&partnerID=8YFLogxK
U2 - 10.1109/ICDAR.2001.953881
DO - 10.1109/ICDAR.2001.953881
M3 - 會議論文篇章
AN - SCOPUS:71249147473
T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
SP - 704
EP - 708
BT - Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
PB - IEEE Computer Society
T2 - 6th International Conference on Document Analysis and Recognition, ICDAR 2001
Y2 - 10 September 2001 through 13 September 2001
ER -