A feature point clustering approach to the segmentation of form documents

Author

Fan, Kuo-Chin ; Lu, Jeng-Ming ; Wang, Jing-Yuh

Author_Institution

Inst. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Chung-Li, Taiwan

Volume

2

fYear

1995

fDate

14-16 Aug 1995

Firstpage

623

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

Keywords

document image processing; feature extraction; image segmentation; optical character recognition; character extraction; feature point clustering approach; form document segmentation; form optical character recognition; pattern clustering problem; Character recognition; Clustering algorithms; Data mining; Feature extraction; Image segmentation; Image storage; Optical character recognition software; Optical devices; Pattern clustering; Storage automation;

fLanguage

English

Publisher

ieee

Conference_Titel

Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on

Conference_Location

Montreal, Que.

Print_ISBN

0-8186-7128-9

Type

conf

DOI

10.1109/ICDAR.1995.601973

Filename

601973