Knowledge-based English cursive script segmentation
Identifieur interne : 001C62 ( Main/Exploration ); précédent : 001C61; suivant : 001C63Knowledge-based English cursive script segmentation
Auteurs : Xuhong Xiao [Singapour] ; Graham Leedham [Singapour]Source :
- Pattern Recognition Letters [ 0167-8655 ] ; 1999.
Abstract
Knowledge concerning the structure of some prominent English letters, as well as the structural characteristics between background regions and character components is investigated as a novel approach to cursive script segmentation. First, connected components consisting of more than one character are split into sub-components based on their face-up or face-down background regions. Secondly, the over-segmented sub-components are merged into characters according to the knowledge of character structures and their joining characteristics. The algorithm achieved around 80% correct segmentation on a difficult database of unconstrained handwritten words.
Url:
DOI: 10.1016/S0167-8655(00)00049-0
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Knowledge concerning the structure of some prominent English letters, as well as the structural characteristics between background regions and character components is investigated as a novel approach to cursive script segmentation. First, connected components consisting of more than one character are split into sub-components based on their face-up or face-down background regions. Secondly, the over-segmented sub-components are merged into characters according to the knowledge of character structures and their joining characteristics. The algorithm achieved around 80% correct segmentation on a difficult database of unconstrained handwritten words.</div>
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