An algorithm of Handwritten Digital Recognition Based on BP-Bagging

DOI

10.2991/icitmi-15.2015.195How to use a DOI?

Keywords

BP-Bagging; Classifier; Image; Feature

Abstract

The handwritten number recognition algorithm based on BP-bagging generates the basic classification by BP network and generates multiple classifiers by bagging. The algorithm treats a handwritten character as an image. By scanning the images, 25 dimension features are extracted, and then compresses the 25 dimensions features into 5. The handwrite digital can be recognized by input it into BP-bagging classifier and by multiple voting integration. Proved by repeating experiments, the algorithm bears a high recognition rate, which functions better than single classifiers and other basic classifier combination algorithm.

Copyright

© 2015, 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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TY  - CONF
AU  - Zuojun Liu
AU  - Lihong Li
AU  - Mi Yu
PY  - 2015/10
DA  - 2015/10
TI  - An algorithm of Handwritten Digital Recognition Based on BP-Bagging
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 1164
EP  - 1168
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.195
DO  - 10.2991/icitmi-15.2015.195
ID  - Liu2015/10
ER  -