@inproceedings{ce6ba44597884d1dbc619d7f8aaa5186,
title = "Form document identification using line structure based features",
abstract = "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.",
author = "Fan, {Kuo Chin} and Wang, {Yuan Kai} and Chang, {Mei Lin}",
note = "Publisher Copyright: {\textcopyright} 2001 IEEE.; null ; Conference date: 10-09-2001 Through 13-09-2001",
year = "2001",
doi = "10.1109/ICDAR.2001.953881",
language = "???core.languages.en_GB???",
series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",
publisher = "IEEE Computer Society",
pages = "704--708",
booktitle = "Proceedings - 6th International Conference on Document Analysis and Recognition, ICDAR 2001",
}