OcrV1, Main, Exploration, bibRecord, 000763

Touching Character Segmentation Method for Chinese Historical Documents

Identifieur interne : 000763 ( Main/Exploration ); précédent : 000762; suivant : 000764

Touching Character Segmentation Method for Chinese Historical Documents

Auteurs : XIAOLU SUN [République populaire de Chine] ; LIANGRUI PENG [République populaire de Chine] ; XIAOQING DING [République populaire de Chine]

Source :

Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2010.

RBID : Pascal:10-0429676

Descripteurs français

Pascal (Inist)
- Méthode optimisation, Algorithme, Reconnaissance forme, Recherche documentaire, Segmentation, Chinois, Reconnaissance optique caractère, Caractère manuscrit, Idéogramme, Optimisation, Localisation, 0130C, 4230S.
Wicri :
- topic : Recherche documentaire.

English descriptors

KwdEn :
- Algorithms, Chinese, Document retrieval, Ideogram, Localization, Manuscript character, Optical character recognition, Optimization, Optimization method, Pattern recognition, Segmentation.

Abstract

The OCR technology for Chinese historical documents is still an open problem. As these documents are hand-written or hand-carved in various styles, overlapped and touching characters bring great difficulty for character segmentation module. This paper presents an over-segmentation-based method to handle the overlapped and touching Chinese characters in historic documents. The whole segmentation process includes two parts: over-segmented and segmenting path optimization. In the former part, touching strokes will be found and segmented by analyzing the geometric information of the white and black connected components. The segmentation cost of the touching strokes is estimated with connected components' shape and location, as well as the touching stroke width. The latter part uses local optimization dynamic programming to find best segmenting path. HMM is used to express the multiple choices of segmenting paths, and Viterbi algorithm is used to search local optimal solution. Experimental results on practical Chinese documents show the proposed method is effective.

Affiliations:

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

to stream PascalFrancis, to step Corpus: 000166
to stream PascalFrancis, to step Curation: 000611
to stream PascalFrancis, to step Checkpoint: 000137
to stream Main, to step Merge: 000768
to stream Main, to step Curation: 000763

Le document en format XML

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<front><div type="abstract" xml:lang="en">The OCR technology for Chinese historical documents is still an open problem. As these documents are hand-written or hand-carved in various styles, overlapped and touching characters bring great difficulty for character segmentation module. This paper presents an over-segmentation-based method to handle the overlapped and touching Chinese characters in historic documents. The whole segmentation process includes two parts: over-segmented and segmenting path optimization. In the former part, touching strokes will be found and segmented by analyzing the geometric information of the white and black connected components. The segmentation cost of the touching strokes is estimated with connected components' shape and location, as well as the touching stroke width. The latter part uses local optimization dynamic programming to find best segmenting path. HMM is used to express the multiple choices of segmenting paths, and Viterbi algorithm is used to search local optimal solution. Experimental results on practical Chinese documents show the proposed method is effective.</div>
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Touching Character Segmentation Method for Chinese Historical Documents

Touching Character Segmentation Method for Chinese Historical Documents

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