The impact of OCR accuracy on automatic text classification

被引：0
|
作者：
Zu, GW
Murata, M
Ohyama, W
Wakabayashi, T
Kimura, F
机构：
[1] Mie Univ, Fac Engn, Tsu, Mie 5148507, Japan
[2] Toshiba Solut Corp, Syst Integrat Technol Ctr, Minato Ku, Tokyo 1056691, Japan
来源：
CONTENT COMPUTING, PROCEEDINGS | 2004年 / 3309卷
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Current general digitization approach of paper media is converting them into the digital images by a scanner, and then reading them by an OCR to generate ASCII text for full-text retrieval. However, it is impossible to recognize all characters with 100% accuracy by the present OCR technology. Therefore, it is important to know the impact of OCR accuracy on automatic text classification to reveal its technical feasibility. In this research we perform automatic text classification experiments for English newswire articles to study on the relationships between the accuracies of OCR and the text classification employing the statistical classification techniques.
引用
收藏
页码：403 / 409
页数：7
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