OcrV1, Main, Merge, bibRecord, 001A82

Automatic performance evaluation of printed Chinese character recognition systems

Identifieur interne : 001A82 ( Main/Merge ); précédent : 001A81; suivant : 001A83

Automatic performance evaluation of printed Chinese character recognition systems

Auteurs : CHI FANG [République populaire de Chine] ; CHANGSONG LIU [République populaire de Chine] ; LIANGRUI PENG [République populaire de Chine] ; XIAOQING DING [République populaire de Chine]

Source :

International journal on document analysis and recognition : (Print) [ 1433-2833 ] ; 2002.

RBID : Pascal:02-0230355

Descripteurs français

Pascal (Inist)
- Chaîne caractère, Segmentation image, Essai automatique, Evaluation performance, Reconnaissance forme, Reconnaissance caractère, Reconnaissance image, Reconnaissance optique caractère, Evaluation système, Système automatique, Chinois, Caractère imprimé.

English descriptors

KwdEn :
- Automatic system, Automatic test, Character recognition, Character string, Chinese, Image recognition, Image segmentation, Optical character recognition, Pattern recognition, Performance evaluation, Printed character, System evaluation.

Abstract

Performance evaluation is crucial for improving the performance of OCR systems. However, this is trivial and sophisticated work to do by hand. Therefore, we have developed an automatic performance evaluation system for a printed Chinese character recognition (PCCR) system. Our system is characterized by using real-world data as test data and automatically obtaining the performance of the PCCR system by comparing the correct text and the recognition result of the document image. In addition, our performance evaluation system also provides some evaluation of performance for the segmentation module, the classification module, and the post-processing module of the PCCR system. For this purpose, a segmentation error-tolerant character-string matching algorithm is proposed to obtain the correspondence between the correct text and the recognition result. The experiments show that our performance evaluation system is an accurate and powerful tool for studying deficiencies in the PCCR system. Although our approach is aimed at the PCCR system, the idea also can be applied to other OCR systems.

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to stream PascalFrancis, to step Corpus: 000672
to stream PascalFrancis, to step Curation: 000120
to stream PascalFrancis, to step Checkpoint: 000629

Links to Exploration step

Pascal:02-0230355

Le document en format XML

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<term>Reconnaissance caractère</term>
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<front><div type="abstract" xml:lang="en">Performance evaluation is crucial for improving the performance of OCR systems. However, this is trivial and sophisticated work to do by hand. Therefore, we have developed an automatic performance evaluation system for a printed Chinese character recognition (PCCR) system. Our system is characterized by using real-world data as test data and automatically obtaining the performance of the PCCR system by comparing the correct text and the recognition result of the document image. In addition, our performance evaluation system also provides some evaluation of performance for the segmentation module, the classification module, and the post-processing module of the PCCR system. For this purpose, a segmentation error-tolerant character-string matching algorithm is proposed to obtain the correspondence between the correct text and the recognition result. The experiments show that our performance evaluation system is an accurate and powerful tool for studying deficiencies in the PCCR system. Although our approach is aimed at the PCCR system, the idea also can be applied to other OCR systems.</div>
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Automatic performance evaluation of printed Chinese character recognition systems

Automatic performance evaluation of printed Chinese character recognition systems

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