An efficient post-processing approach for off-line handwritten Chinese address recognition

被引：0
|
作者：
Long, Chong [1 ]
Zhu, Xiaoyan [1 ]
Huang, Kaizhu [2 ]
Sun, Jun [2 ]
Hotta, Yoshinobu [3 ]
Naoi, Satoshi [3 ]
机构：
[1] Tsinghua Univ, Dept Comp Sci & Technol, State Key Lab Intelligent Technol & Syst, Beijing 100084, Peoples R China
[2] Fujitsu R&D Ctr Co Ltd, Informat Technol Lab, Beijing 100016, Peoples R China
[3] Fujitsu Labs Ltd, Kawasaki, Kanagawa 2118588, Japan
来源：
2006 8TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-4 | 2006年
关键词：
OCR; post-processing; language mode; ME model;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Language model is widely used in OCR post-processing. In this paper, based on language model, we propose a two-step method for post-processing of off-line handwritten Chinese address recognition. According to the characteristics of high level and low level addresses, two different strategies are used: for high level addresses, word-based language model is used with weighed matching search algorithm proposed; for low level addresses, ME model is implemented with similar character method. After post-processing, recognition accuracy rises from 41.60% to 78.19%. which means 62.65% errors reduction.
引用
收藏
页码：1063 / +
页数：2
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