Document form and character recognition using SVM

Sang Sung Park; Young Geun Shin; Won Kyo Jung; Dong Kyu Ahn; Dong Sik Jang

doi:10.1063/1.3225267

Document form and character recognition using SVM

Sang Sung Park
, Young Geun Shin
, Won Kyo Jung
, Dong Kyu Ahn
, Dong Sik Jang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Because of development of computer and information communication, EDI (Electronic Data Interchange) has been developing. There is OCR (Optical Character Recognition) of Pattern recognition technology for EDI. OCR contributed to changing many manual in the past into automation. But for the more perfect database of document, much manual is needed for excluding unnecessary recognition. To resolve this problem, we propose document form based character recognition method in this study. Proposed method is divided into document form recognition part and character recognition part. Especially, in character recognition, change character into binarization by using SVM algorithm and extract more correct feature value.

Original language	English
Title of host publication	Computational Methods in Science and Engineering - Advances in Computational Science, Lectures Presented at the Int. Conference on Computational Methods in Science and Engineering 2008, ICCMSE 2008
Pages	180-183
Number of pages	4
DOIs	https://doi.org/10.1063/1.3225267
Publication status	Published - 2009
Event	6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008 - Hersonissos, Crete, Greece Duration: 2008 Sept 25 → 2008 Sept 30

Publication series

Name	AIP Conference Proceedings
Volume	1148 2
ISSN (Print)	0094-243X
ISSN (Electronic)	1551-7616

Other

Other	6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008
Country/Territory	Greece
City	Hersonissos, Crete
Period	08/9/25 → 08/9/30

Keywords

Character Recognition
OCR
Pattern Recognition
SVM

ASJC Scopus subject areas

General Physics and Astronomy

Access to Document

10.1063/1.3225267

Cite this

Park, S. S., Shin, Y. G., Jung, W. K., Ahn, D. K., & Jang, D. S. (2009). Document form and character recognition using SVM. In Computational Methods in Science and Engineering - Advances in Computational Science, Lectures Presented at the Int. Conference on Computational Methods in Science and Engineering 2008, ICCMSE 2008 (pp. 180-183). (AIP Conference Proceedings; Vol. 1148 2). https://doi.org/10.1063/1.3225267

Document form and character recognition using SVM. / Park, Sang Sung; Shin, Young Geun; Jung, Won Kyo et al.
Computational Methods in Science and Engineering - Advances in Computational Science, Lectures Presented at the Int. Conference on Computational Methods in Science and Engineering 2008, ICCMSE 2008. 2009. p. 180-183 (AIP Conference Proceedings; Vol. 1148 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Park, SS, Shin, YG, Jung, WK, Ahn, DK & Jang, DS 2009, Document form and character recognition using SVM. in Computational Methods in Science and Engineering - Advances in Computational Science, Lectures Presented at the Int. Conference on Computational Methods in Science and Engineering 2008, ICCMSE 2008. AIP Conference Proceedings, vol. 1148 2, pp. 180-183, 6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008, Hersonissos, Crete, Greece, 08/9/25. https://doi.org/10.1063/1.3225267

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abstract = "Because of development of computer and information communication, EDI (Electronic Data Interchange) has been developing. There is OCR (Optical Character Recognition) of Pattern recognition technology for EDI. OCR contributed to changing many manual in the past into automation. But for the more perfect database of document, much manual is needed for excluding unnecessary recognition. To resolve this problem, we propose document form based character recognition method in this study. Proposed method is divided into document form recognition part and character recognition part. Especially, in character recognition, change character into binarization by using SVM algorithm and extract more correct feature value.",

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AB - Because of development of computer and information communication, EDI (Electronic Data Interchange) has been developing. There is OCR (Optical Character Recognition) of Pattern recognition technology for EDI. OCR contributed to changing many manual in the past into automation. But for the more perfect database of document, much manual is needed for excluding unnecessary recognition. To resolve this problem, we propose document form based character recognition method in this study. Proposed method is divided into document form recognition part and character recognition part. Especially, in character recognition, change character into binarization by using SVM algorithm and extract more correct feature value.

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KW - Pattern Recognition

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Document form and character recognition using SVM

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Keywords

ASJC Scopus subject areas

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