Document filters using morphological and geometrical features of characters
Identifieur interne : 001B46 ( Main/Exploration ); précédent : 001B45; suivant : 001B47Document filters using morphological and geometrical features of characters
Auteurs : Zhang Ping [Singapour] ; Chen Lihui [Singapour]Source :
- Image and Vision Computing [ 0262-8856 ] ; 2001.
Descripteurs français
- Wicri :
- topic : Reconnaissance optique de caractères.
English descriptors
- KwdEn :
Abstract
This paper aims at irregular noise removal in binary document images. A new filtering algorithm called modified directional morphological filter is introduced with dual properties for eliminating document salt-and-pepper noises, and for remedying eroded character stroke distortions. For eliminating larger noises other than salt-and-pepper shape, an enhanced algorithm called image geometric structure filter (IGSF) is proposed based on the geometric stroke information of characters. IGSF can especially be used for noise removal in printed/printed–handwritten alphanumeric documents. Experiments demonstrate that the combining performance of two filters is robust, which can feasibly filter out various isolated noises in the binary document images.
Url:
DOI: 10.1016/S0262-8856(01)00048-8
Affiliations:
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Le document en format XML
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