@inproceedings{2f1d353033b9445bbb95b5b436cff1e0,
title = "Document form and character recognition using SVM",
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.",
keywords = "Character Recognition, OCR, Pattern Recognition, SVM",
author = "Park, {Sang Sung} and Shin, {Young Geun} and Jung, {Won Kyo} and Ahn, {Dong Kyu} and Jang, {Dong Sik}",
year = "2009",
doi = "10.1063/1.3225267",
language = "English",
isbn = "9780735406858",
series = "AIP Conference Proceedings",
pages = "180--183",
booktitle = "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",
note = "6th International Conference on Computational Methods in Sciences and Engineering 2008, ICCMSE 2008 ; Conference date: 25-09-2008 Through 30-09-2008",
}