@inproceedings{c9d866fa5a2745e2ae7d9defba19a587,
title = "A feature point clustering approach to the segmentation of form documents",
abstract = "Among various kinds of documents, forms are one of the important types. The prerequisite for form optical character recognition (Form OCR) is the extraction of characters from form documents. The authors present a clustering based technique for extracting characters from form documents. In this method, they treat the character extraction process as a pattern clustering problem. The feasibility of the novel method is demonstrated through experimenting various kinds of forms. Experimental results reveal the feasibility of the novel method.",
author = "Fan, {Kuo Chin} and Lu, {Jeng Ming} and Wang, {Jing Yuh}",
note = "Publisher Copyright: {\textcopyright} 1995 IEEE.; 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 ; Conference date: 14-08-1995 Through 16-08-1995",
year = "1995",
doi = "10.1109/ICDAR.1995.601973",
language = "???core.languages.en_GB???",
series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",
publisher = "IEEE Computer Society",
pages = "623--626",
booktitle = "Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995",
}