OcrV1, Main, Exploration, bibRecord, 001006

Structural and Syntactic Techniques for Recognition of Ethiopic Characters

Identifieur interne : 001006 ( Main/Exploration ); précédent : 001005; suivant : 001007

Structural and Syntactic Techniques for Recognition of Ethiopic Characters

Auteurs : Yaregal Assabie [Suède] ; Josef Bigun [Suède]

Source :

Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.

RBID : ISTEX:81547514D386303D9EF4288EBFFA7C14FD68FCC0

Descripteurs français

Pascal (Inist)
- Analyse statistique, Analyse structurale, Analyse syntaxique, Base connaissance, Concordance forme, Extraction forme, Méthode arborescente, Reconnaissance caractère, Reconnaissance forme, Reconnaissance optique caractère, Structure arborescente, Traitement image.

English descriptors

KwdEn :
- Character recognition, Image processing, Knowledge base, Optical character recognition, Pattern extraction, Pattern matching, Pattern recognition, Statistical analysis, Structural analysis, Syntactic analysis, Tree structure, Tree structured method.

Abstract

Abstract: OCR technology of Latin scripts is well advanced in comparison to other scripts. However, the available results from Latin are not always sufficient to directly adopt them for other scripts such as the Ethiopic script. In this paper, we propose a novel approach that uses structural and syntactic techniques for recognition of Ethiopic characters. We reveal that primitive structures and their spatial relationships form a unique set of patterns for each character. The relationships of primitives are represented by a special tree structure, which is also used to generate a pattern. A knowledge base of the alphabet that stores possibly occurring patterns for each character is built. Recognition is then achieved by matching the generated pattern against each pattern in the knowledge base. Structural features are extracted using direction field tensor. Experimental results are reported, and the recognition system is insensitive to variations on font types, sizes and styles.

Url:

https://api.istex.fr/document/81547514D386303D9EF4288EBFFA7C14FD68FCC0/fulltext/pdf

DOI: 10.1007/11815921_12

Affiliations:

Suède

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<front><div type="abstract" xml:lang="en">Abstract: OCR technology of Latin scripts is well advanced in comparison to other scripts. However, the available results from Latin are not always sufficient to directly adopt them for other scripts such as the Ethiopic script. In this paper, we propose a novel approach that uses structural and syntactic techniques for recognition of Ethiopic characters. We reveal that primitive structures and their spatial relationships form a unique set of patterns for each character. The relationships of primitives are represented by a special tree structure, which is also used to generate a pattern. A knowledge base of the alphabet that stores possibly occurring patterns for each character is built. Recognition is then achieved by matching the generated pattern against each pattern in the knowledge base. Structural features are extracted using direction field tensor. Experimental results are reported, and the recognition system is insensitive to variations on font types, sizes and styles.</div>
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Serveur d'exploration sur l'OCR

Structural and Syntactic Techniques for Recognition of Ethiopic Characters

Structural and Syntactic Techniques for Recognition of Ethiopic Characters

Source :

Descripteurs français

English descriptors

Abstract

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

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

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