A feature point clustering approach to the recognition of form documents

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/29159

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29159

Title:	A feature point clustering approach to the recognition of form documents
Authors:	Fan,KC;Lu,JM;Chen,GD
Contributors:	資訊工程研究所
Keywords:	GRAPH;MONOMORPHISM;ALGORITHM
Date:	1998
Issue Date:	2010-06-29 20:15:08 (UTC+8)
Publisher:	中央大學
Abstract:	Among various kinds of documents, forms are one of the important types. Automatic processing of form documents is a problem which is essential to the advancement of office automation. In this paper, we will present a clustering-based approach to recognize form documents. In our approach, the characters embedded in a form document are extracted first by separating the characters and structured line patterns into two distinct groups. Next, clustering process is employed to the corner points of the remained structured line patterns. Each form document is then represented as a weighted graph according to the clustering result. Form recognition problem is thereby formulated as a graph matching problem. The feasibility of the novel method is demonstrated through experimenting various kinds of forms. Experimental results reveal the feasibility of the novel method. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
Relation:	PATTERN RECOGNITION
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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