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Cost-sensitive MQDF classifier for handwritten Chinese address recognition

  • Shujing Lu
  • , Xiaohua Wei
  • , Yue Lu
  • China Post Group
  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To overcome the class imbalance problem in Chinese address recognition, we propose a cost-sensitive learning method for MQDF classifier. In the learning process, a cost vector is introduced to the discriminative learning process of MQDF, and minimization of misclassification cost is used as the convergence criteria. A cost-sensitive MQDF classifier (CMQDF) is then obtained, and it is integrated into a handwritten Chinese address recognition (HCAR) system to validate its effectiveness. The experimental results show that CMQDF is an effective cost-sensitive classifier for the class imbalance problem in HCAR system. Moreover, it enhances the reliability of the HCAR system.

源语言英语
主期刊名13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings
出版商IEEE Computer Society
76-80
页数5
ISBN(电子版)9781479918058
DOI
出版状态已出版 - 20 11月 2015
活动13th International Conference on Document Analysis and Recognition, ICDAR 2015 - Nancy, 法国
期限: 23 8月 201526 8月 2015

出版系列

姓名Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
2015-November
ISSN(印刷版)1520-5363

会议

会议13th International Conference on Document Analysis and Recognition, ICDAR 2015
国家/地区法国
Nancy
时期23/08/1526/08/15

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