Document Form and Character Recognition using SVM
Sangsung Park, Young-Geun Shin, Won‐Kyo Jung, Dong-Kyu Ahn, Dong‐Sik Jang, George B. Maroulis, Theodore E. Simos · AIP conference proceedings · 2009
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.