Cost-sensitive MQDF classifier for handwritten Chinese address recognition

Shujing Lu; Xiaohua Wei; Yue Lu

doi:10.1109/ICDAR.2015.7333729

Cost-sensitive MQDF classifier for handwritten Chinese address recognition

Shujing Lu
, Xiaohua Wei
, Yue Lu

School of Communication and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

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.

Original language	English
Title of host publication	13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings
Publisher	IEEE Computer Society
Pages	76-80
Number of pages	5
ISBN (Electronic)	9781479918058
DOIs	https://doi.org/10.1109/ICDAR.2015.7333729
State	Published - 20 Nov 2015
Event	13th International Conference on Document Analysis and Recognition, ICDAR 2015 - Nancy, France Duration: 23 Aug 2015 → 26 Aug 2015

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
Volume	2015-November
ISSN (Print)	1520-5363

Conference

Conference	13th International Conference on Document Analysis and Recognition, ICDAR 2015
Country/Territory	France
City	Nancy
Period	23/08/15 → 26/08/15

Keywords

Modified Quadratic Discriminant Function
class imbalance
cost-sensitive MQDF
handwritten Chinese address recognition

Access to Document

10.1109/ICDAR.2015.7333729

Cite this

Lu, S., Wei, X., & Lu, Y. (2015). Cost-sensitive MQDF classifier for handwritten Chinese address recognition. In 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings (pp. 76-80). Article 7333729 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2015-November). IEEE Computer Society. https://doi.org/10.1109/ICDAR.2015.7333729

@inproceedings{d9f738fd380142e69b887f7a55e740ea,

title = "Cost-sensitive MQDF classifier for handwritten Chinese address recognition",

abstract = "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.",

keywords = "Modified Quadratic Discriminant Function, class imbalance, cost-sensitive MQDF, handwritten Chinese address recognition",

author = "Shujing Lu and Xiaohua Wei and Yue Lu",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 13th International Conference on Document Analysis and Recognition, ICDAR 2015 ; Conference date: 23-08-2015 Through 26-08-2015",

year = "2015",

month = nov,

day = "20",

doi = "10.1109/ICDAR.2015.7333729",

language = "英语",

series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",

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booktitle = "13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings",

address = "美国",

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Lu, S, Wei, X & Lu, Y 2015, Cost-sensitive MQDF classifier for handwritten Chinese address recognition. in 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings., 7333729, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, vol. 2015-November, IEEE Computer Society, pp. 76-80, 13th International Conference on Document Analysis and Recognition, ICDAR 2015, Nancy, France, 23/08/15. https://doi.org/10.1109/ICDAR.2015.7333729

Cost-sensitive MQDF classifier for handwritten Chinese address recognition. / Lu, Shujing; Wei, Xiaohua; Lu, Yue.
13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings. IEEE Computer Society, 2015. p. 76-80 7333729 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR; Vol. 2015-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cost-sensitive MQDF classifier for handwritten Chinese address recognition

AU - Lu, Shujing

AU - Wei, Xiaohua

AU - Lu, Yue

PY - 2015/11/20

Y1 - 2015/11/20

N2 - 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.

AB - 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.

KW - Modified Quadratic Discriminant Function

KW - class imbalance

KW - cost-sensitive MQDF

KW - handwritten Chinese address recognition

UR - https://www.scopus.com/pages/publications/84962575028

U2 - 10.1109/ICDAR.2015.7333729

DO - 10.1109/ICDAR.2015.7333729

M3 - 会议稿件

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T3 - Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

SP - 76

EP - 80

BT - 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings

PB - IEEE Computer Society

T2 - 13th International Conference on Document Analysis and Recognition, ICDAR 2015

Y2 - 23 August 2015 through 26 August 2015

ER -

Lu S, Wei X, Lu Y. Cost-sensitive MQDF classifier for handwritten Chinese address recognition. In 13th IAPR International Conference on Document Analysis and Recognition, ICDAR 2015 - Conference Proceedings. IEEE Computer Society. 2015. p. 76-80. 7333729. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.2015.7333729

Cost-sensitive MQDF classifier for handwritten Chinese address recognition

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