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 proceedingConference 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 languageEnglish
Title of host publicationComputational 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
Pages180-183
Number of pages4
DOIs
Publication statusPublished - 2009
Event6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008 - Hersonissos, Crete, Greece
Duration: 2008 Sep 252008 Sep 30

Publication series

NameAIP Conference Proceedings
Volume1148 2
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008
CountryGreece
CityHersonissos, Crete
Period08/9/2508/9/30

Keywords

  • Character Recognition
  • OCR
  • Pattern Recognition
  • SVM

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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    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