Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Recognition Method for Handwritten Digits Based on Improved Chain Code Histogram Feature

Authors
You Qian, Wang Xichang, Zhang Huaying, Sun Zhen, Liu Jiang
Corresponding Author
You Qian
Available Online November 2013.
DOI
10.2991/icmt-13.2013.53How to use a DOI?
Keywords
Chain code histogram,·Differential chain code·Direction turning point·Handwritten digit recognition·Support vector machine
Abstract

The chain code histogram feature is a simple and effective feature extraction technology. This paper proposes improvements based on Chain Code Histogram (CCH) and its first differential characteristics. According to the first Differential Chain Code Histogram (DCCH), the turning points in the direction are extracted and the judging method of Direction Turning Point (DTP) is given. We combine CCH and DTP into a new feature, then handwritten digits of MNIST database are recognized and classified by Support Vector Machine (SVM) classifier. The experimental results proved that the recognition rate of the improved method is not only higher than CCH and first differential CCH, but also closely to the recognition rate of their combination. Obviously, the new combination reduces the feature dimension, improves the speed of training and recognition.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
Series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
10.2991/icmt-13.2013.53
ISSN
1951-6851
DOI
10.2991/icmt-13.2013.53How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - You Qian
AU  - Wang Xichang
AU  - Zhang Huaying
AU  - Sun Zhen
AU  - Liu Jiang
PY  - 2013/11
DA  - 2013/11
TI  - Recognition Method for Handwritten Digits Based on Improved Chain Code Histogram Feature
BT  - Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 431
EP  - 438
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.53
DO  - 10.2991/icmt-13.2013.53
ID  - Qian2013/11
ER  -