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Extraction of characters from form documents by feature point clustering

Identifieur interne : 002977 ( Main/Exploration ); précédent : 002976; suivant : 002978

Extraction of characters from form documents by feature point clustering

Auteurs : Kuo-Chin Fan [Taïwan, République populaire de Chine] ; Jeng-Ming Lu [République populaire de Chine] ; Liang-Sheng Wang [République populaire de Chine] ; Hong-Yuan Liao [République populaire de Chine]

Source :

RBID : ISTEX:08F63CAF5B914925EF5004D7449FD25C5DAD7BC0

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.

Url:
DOI: 10.1016/0167-8655(95)00040-N


Affiliations:


Links toward previous steps (curation, corpus...)


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