A New Vehicle License Plate Correction Method Based on Sobel Operator and Priori Knowledge

DOI

10.2991/mmebc-16.2016.221How to use a DOI?

Keywords

License plate recognition; Tilt correction; Sobel operator; Affine transformation

Abstract

The tilted visual angel of the camera determines that incline will inevitably occur in vehicle license plate (VLP) recognition system. This will bring about difficulties to the following character segmentation and character recognition. Traditional correction methods can receive high accuracy hardly and require a large amount of calculation consumption. In response to this situation, this paper proposes a tilt correction algorithm based on Sobel vertical edges of the plate image and some priori information. Sobel operator is applied for vertical edge detection of VLP images,and statistical edge information is used to determine the horizontal deflection angel. Vertical tilt correction uses a priori knowledge that the characters have minimum width when they stand vertically , adjust the angle of the individual character to determine the vertical tilt angle. The experimental results verify that this proposed method can be easily implemented, and can quickly and accurately get the tilt angle, it also has strong robustness.

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/).

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TY  - CONF
AU  - Yong Wang
AU  - Yantao Chen
AU  - Maoning Wang
PY  - 2016/06
DA  - 2016/06
TI  - A New Vehicle License Plate Correction Method Based on Sobel Operator and Priori Knowledge
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1065
EP  - 1073
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.221
DO  - 10.2991/mmebc-16.2016.221
ID  - Wang2016/06
ER  -