OcrV1, France, Analysis, bibRecord, 000179

Address block localization based on graph theory

Identifieur interne : 000179 ( France/Analysis ); précédent : 000178; suivant : 000180

Address block localization based on graph theory

Auteurs : Djamel Gaceb [France] ; Véronique Eglin [France] ; Frank Lebourgeois [France] ; Hubert Emptoz [France]

Source :

Proceedings electronic imaging science and technology

RBID : Pascal:08-0399976

Descripteurs français

Pascal (Inist)
- Théorie graphe, Temps calcul, Localisation, Reconnaissance optique caractère, Evaluation performance, Architecture modulaire, Coloration graphe, Cohérence, Reconnaissance forme, 0130C, 4230S.

English descriptors

KwdEn :
- Coherence, Computation time, Graph colouring, Graph theory, Localization, Modular architecture, Optical character recognition, Pattern recognition, Performance evaluation.

Abstract

An efficient mail sorting system is mainly based on an accurate optical recognition of the addresses on the envelopes. However, the localizing of the address block (ABL) should be done before the OCR recognition process. The location step is very crucial as it has a great impact on the global performance of the system. Currently, a good localizing step leads to a better recognition rate. The limit of current methods is mainly caused by modular linear architectures used for ABL: their performances greatly depend on each independent module performance. We are presenting in this paper a new approach for ABL based on a pyramidal data organization and on a hierarchical graph coloring for classification process. This new approach presents the advantage to guarantee a good coherence between different modules and reduces both the computation time and the rejection rate. The proposed method gives a very satisfying rate of 98% of good locations on a set of 750 envelope images.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000270
to stream PascalFrancis, to step Curation: 000514
to stream PascalFrancis, to step Checkpoint: 000256
to stream Main, to step Merge: 000D46
to stream Main, to step Curation: 000D34
to stream Main, to step Exploration: 000D34
to stream France, to step Extraction: 000179

Links to Exploration step

Pascal:08-0399976

Le document en format XML

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<front><div type="abstract" xml:lang="en">An efficient mail sorting system is mainly based on an accurate optical recognition of the addresses on the envelopes. However, the localizing of the address block (ABL) should be done before the OCR recognition process. The location step is very crucial as it has a great impact on the global performance of the system. Currently, a good localizing step leads to a better recognition rate. The limit of current methods is mainly caused by modular linear architectures used for ABL: their performances greatly depend on each independent module performance. We are presenting in this paper a new approach for ABL based on a pyramidal data organization and on a hierarchical graph coloring for classification process. This new approach presents the advantage to guarantee a good coherence between different modules and reduces both the computation time and the rejection rate. The proposed method gives a very satisfying rate of 98% of good locations on a set of 750 envelope images.</div>
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   |wiki=    Ticri/CIDE
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   |type=    RBID
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   |texte=   Address block localization based on graph theory
}}

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Address block localization based on graph theory

Address block localization based on graph theory

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri