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http://dx.doi.org/10.7471/ikeee.2018.22.4.1188

An image enhancement-based License plate detection method for Naturally Degraded Images  

Khan, Khurram (Dept. of Electronics and Communication Engineering, Hanyang University)
Choi, Myung Ryul (Dept. of Electronics and Communication Engineering, Hanyang University)
Publication Information
Journal of IKEEE / v.22, no.4, 2018 , pp. 1188-1194 More about this Journal
Abstract
This paper proposes an image enhancement-based license plate detection algorithm to improve the overall performance of system. Non-uniform illumination conditions have huge impact on overall plate detection system accuracy. In this paper, we propose an algorithm for color image enhancement-based license plate detection for improving accuracy of images degraded by excessively strong and low sunlight. Firstly, the image is enhanced by Multi-Scale Retinex algorithm. Secondly, a plate detection method is employed to take advantage of geometric properties of connected components, which can significantly reduce the undesired plate regions. Finally, intersection over union method is applied for detecting the accurate location of number plate. Experimental results show that the proposed method significantly improves the accuracy of plate detection system.
Keywords
Plate detection; image enhancement; non-uniform illumination; Multi-Scale Retinex; IoU;
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