Bangla/English Script Identification Based on Analysis of Connected Component Profiles
Identifieur interne : 001105 ( Main/Exploration ); précédent : 001104; suivant : 001106Bangla/English Script Identification Based on Analysis of Connected Component Profiles
Auteurs : Lijun Zhou [République populaire de Chine] ; Yue Lu [République populaire de Chine] ; Lim Tan [Singapour]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: Script identification is required for a multilingual OCR system. In this paper, we present a novel and efficient technique for Bangla/English script identification with applications to the destination address block of Bangladesh envelope images. The proposed approach is based upon the analysis of connected component profiles extracted from the destination address block images, however, it does not place any emphasis on the information provided by individual characters themselves and does not require any character/line segmentation. Experimental results demonstrate that the proposed technique is capable of identifying Bangla/English scripts on the real Bangladesh postal images.
Url:
DOI: 10.1007/11669487_22
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Abstract: Script identification is required for a multilingual OCR system. In this paper, we present a novel and efficient technique for Bangla/English script identification with applications to the destination address block of Bangladesh envelope images. The proposed approach is based upon the analysis of connected component profiles extracted from the destination address block images, however, it does not place any emphasis on the information provided by individual characters themselves and does not require any character/line segmentation. Experimental results demonstrate that the proposed technique is capable of identifying Bangla/English scripts on the real Bangladesh postal images.</div>
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