Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

Research on Character Recognition Technology based on Computer Vision

Authors
Guotao Zhao, Jie Ding
Corresponding Author
Guotao Zhao
Available Online December 2015.
DOI
10.2991/nceece-15.2016.210How to use a DOI?
Keywords
Computer Vision;Character Recognition;Adaboost algorithm
Abstract

Computer vision is an important research direction for the man-machine interactive intelligent visual image processing. It is a key technology to the text information extraction and recognition of video or image. As a new research direction of video analysis and application field, Video OCR has the certain application and theory significance. In this paper, the technical route of Video OCR system has been deeply researched. Adaboost low resolution and scanning technology based on character recognition has been proposed. Some numerical simulations are made to test the validity and capability of the proposed technology.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-150-6
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.210How to use a DOI?
Copyright
© 2016, 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  - Guotao Zhao
AU  - Jie Ding
PY  - 2015/12
DA  - 2015/12
TI  - Research on Character Recognition Technology based on Computer Vision
BT  - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 1181
EP  - 1184
SN  - 2352-5401
UR  - https://doi.org/10.2991/nceece-15.2016.210
DO  - 10.2991/nceece-15.2016.210
ID  - Zhao2015/12
ER  -