EXTRACTION OF CHARACTERS FROM FORM DOCUMENTS BY FEATURE POINT CLUSTERING

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Title:	EXTRACTION OF CHARACTERS FROM FORM DOCUMENTS BY FEATURE POINT CLUSTERING
Authors:	FAN,KC;LU,JM;WANG,LS;LIAO,HY
Contributors:	資訊工程研究所
Date:	1995
Issue Date:	2010-06-29 20:16:54 (UTC+8)
Publisher:	中央大學
Abstract:	Among various kinds of documents, forms are the important types. The automatic processing of form documents is a problem which is essential to the advancement of office automation. The extraction of characters from form documents is a prerequisite for optical character recognition. In this paper, we will present a clustering-based technique for extracting characters from form documents. In this method, we 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.
Relation:	PATTERN RECOGNITION LETTERS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

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