Document analysis and recognition system

Fu Chang, Trai Fu Chiu, Tzren Ru Chou, Min Ching Lee, Ya Ching Lu, Tsuey Yuh Shuai, Tzu Ming Tan, Jian Jon Wu, Chu Sing Young

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

This article describes our research results in constructing a system that analyzes and recognizes printed Chinese documents. Emphasis is placed upon the interactions between different functional modules of our system that are necessary and important to the overall system performance. In particular, the interplay between image and document processing is seen as useful for removing spurious black spots in the background and white holes within character interiors. We also show that the interplay between feature analysis and character recognition enhances the generalization and discrimination power in recognizing characters. Our system holds above 98% recognition rate products. In some extreme cases, 25% better recognition rate has been seen. Our system is also able to treat many cases impossible for other systems.

Original languageEnglish
Pages736-739
Number of pages4
Publication statusPublished - 1997 Jan 1
EventProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) - Ulm, Ger
Duration: 1997 Aug 181997 Aug 20

Other

OtherProceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2)
CityUlm, Ger
Period97/8/1897/8/20

Fingerprint

Character recognition
Processing

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Chang, F., Chiu, T. F., Chou, T. R., Lee, M. C., Lu, Y. C., Shuai, T. Y., ... Young, C. S. (1997). Document analysis and recognition system. 736-739. Paper presented at Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2), Ulm, Ger, .

Document analysis and recognition system. / Chang, Fu; Chiu, Trai Fu; Chou, Tzren Ru; Lee, Min Ching; Lu, Ya Ching; Shuai, Tsuey Yuh; Tan, Tzu Ming; Wu, Jian Jon; Young, Chu Sing.

1997. 736-739 Paper presented at Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2), Ulm, Ger, .

Research output: Contribution to conferencePaper

Chang, F, Chiu, TF, Chou, TR, Lee, MC, Lu, YC, Shuai, TY, Tan, TM, Wu, JJ & Young, CS 1997, 'Document analysis and recognition system', Paper presented at Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2), Ulm, Ger, 97/8/18 - 97/8/20 pp. 736-739.
Chang F, Chiu TF, Chou TR, Lee MC, Lu YC, Shuai TY et al. Document analysis and recognition system. 1997. Paper presented at Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2), Ulm, Ger, .
Chang, Fu ; Chiu, Trai Fu ; Chou, Tzren Ru ; Lee, Min Ching ; Lu, Ya Ching ; Shuai, Tsuey Yuh ; Tan, Tzu Ming ; Wu, Jian Jon ; Young, Chu Sing. / Document analysis and recognition system. Paper presented at Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2), Ulm, Ger, .4 p.
@conference{c57f52806e0c45a39438d82d19e0ed18,
title = "Document analysis and recognition system",
abstract = "This article describes our research results in constructing a system that analyzes and recognizes printed Chinese documents. Emphasis is placed upon the interactions between different functional modules of our system that are necessary and important to the overall system performance. In particular, the interplay between image and document processing is seen as useful for removing spurious black spots in the background and white holes within character interiors. We also show that the interplay between feature analysis and character recognition enhances the generalization and discrimination power in recognizing characters. Our system holds above 98{\%} recognition rate products. In some extreme cases, 25{\%} better recognition rate has been seen. Our system is also able to treat many cases impossible for other systems.",
author = "Fu Chang and Chiu, {Trai Fu} and Chou, {Tzren Ru} and Lee, {Min Ching} and Lu, {Ya Ching} and Shuai, {Tsuey Yuh} and Tan, {Tzu Ming} and Wu, {Jian Jon} and Young, {Chu Sing}",
year = "1997",
month = "1",
day = "1",
language = "English",
pages = "736--739",
note = "Proceedings of the 1997 4th International Conference on Document Analysis and Recognition, ICDAR. Part 2 (of 2) ; Conference date: 18-08-1997 Through 20-08-1997",

}

TY - CONF

T1 - Document analysis and recognition system

AU - Chang, Fu

AU - Chiu, Trai Fu

AU - Chou, Tzren Ru

AU - Lee, Min Ching

AU - Lu, Ya Ching

AU - Shuai, Tsuey Yuh

AU - Tan, Tzu Ming

AU - Wu, Jian Jon

AU - Young, Chu Sing

PY - 1997/1/1

Y1 - 1997/1/1

N2 - This article describes our research results in constructing a system that analyzes and recognizes printed Chinese documents. Emphasis is placed upon the interactions between different functional modules of our system that are necessary and important to the overall system performance. In particular, the interplay between image and document processing is seen as useful for removing spurious black spots in the background and white holes within character interiors. We also show that the interplay between feature analysis and character recognition enhances the generalization and discrimination power in recognizing characters. Our system holds above 98% recognition rate products. In some extreme cases, 25% better recognition rate has been seen. Our system is also able to treat many cases impossible for other systems.

AB - This article describes our research results in constructing a system that analyzes and recognizes printed Chinese documents. Emphasis is placed upon the interactions between different functional modules of our system that are necessary and important to the overall system performance. In particular, the interplay between image and document processing is seen as useful for removing spurious black spots in the background and white holes within character interiors. We also show that the interplay between feature analysis and character recognition enhances the generalization and discrimination power in recognizing characters. Our system holds above 98% recognition rate products. In some extreme cases, 25% better recognition rate has been seen. Our system is also able to treat many cases impossible for other systems.

UR - http://www.scopus.com/inward/record.url?scp=0030676851&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0030676851&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0030676851

SP - 736

EP - 739

ER -