OcrV1, PascalFrancis, Checkpoint, bibRecord, 000399

Keyword spotting on Korean document images by matching the keyword image

Identifieur interne : 000399 ( PascalFrancis/Checkpoint ); précédent : 000398; suivant : 000400

Keyword spotting on Korean document images by matching the keyword image

Auteurs : SOO HYUNG KIM [Corée du Sud] ; SANG CHEOL PARK [Corée du Sud] ; CHANG BU JEONG [Corée du Sud] ; JI SOO KIM [Corée du Sud] ; HYUK RO PARK [Corée du Sud] ; GUEE SANG LEE [Corée du Sud]

Source :

Lecture notes in computer science [ 0302-9743 ] ; 2005.

RBID : Pascal:06-0063103

Descripteurs français

Pascal (Inist)
- Bibliothèque électronique, Appariement image, Reconnaissance caractère, Reconnaissance optique caractère, Reconnaissance forme, Interrogation base donnée, Qualité image, Mot clé, Coréen, Système documentaire, Extraction caractéristique, Segmentation, Extraction forme.
Wicri :
- topic : Système documentaire.

English descriptors

KwdEn :
- Character recognition, Database query, Document retrieval system, Electronic library, Feature extraction, Image matching, Image quality, Keyword, Korean, Optical character recognition, Pattern extraction, Pattern recognition, Segmentation.

Abstract

In this paper, we propose a keyword spotting system for Korean document images and compare the proposed system with an OCR-based document retrieval system. The system is composed of character segmentation, feature extraction for the query keyword, and word-to-word matching. In the character segmentation step, we propose an effective method to resolve the connection between adjacent characters. In the query creation step, feature vector for the query is constructed by a combination of the features for the constituent characters. In the matching step, word-to-word matching is applied based on a character matching. We demonstrated that the proposed keyword spotting system is more efficient than the OCR-based one to search a keyword on Korean document images, especially when the quality of documents is quite poor.

Affiliations:

Corée du Sud

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

to stream PascalFrancis, to step Corpus: 000414
to stream PascalFrancis, to step Curation: 000373

Links to Exploration step

Pascal:06-0063103

Le document en format XML

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<front><div type="abstract" xml:lang="en">In this paper, we propose a keyword spotting system for Korean document images and compare the proposed system with an OCR-based document retrieval system. The system is composed of character segmentation, feature extraction for the query keyword, and word-to-word matching. In the character segmentation step, we propose an effective method to resolve the connection between adjacent characters. In the query creation step, feature vector for the query is constructed by a combination of the features for the constituent characters. In the matching step, word-to-word matching is applied based on a character matching. We demonstrated that the proposed keyword spotting system is more efficient than the OCR-based one to search a keyword on Korean document images, especially when the quality of documents is quite poor.</div>
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{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    PascalFrancis
   |étape=   Checkpoint
   |type=    RBID
   |clé=     Pascal:06-0063103
   |texte=   Keyword spotting on Korean document images by matching the keyword image
}}

This area was generated with Dilib version V0.6.32.
Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024

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Serveur d'exploration sur l'OCR

Keyword spotting on Korean document images by matching the keyword image

Keyword spotting on Korean document images by matching the keyword image

Source :

Descripteurs français

English descriptors

Abstract

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

Links to Exploration step

Le document en format XML

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