JOURNAL ARTICLE

License plate localization and recognition under different illumination conditions

Abstract

License Plate Recognition (LPR) is a key technology for many applications. But, most methods in the literature for LPR are only suitable for stable illumination environment. In this paper, we present an algorithm for both license plate localization and recognition in day time and night time. The first step of the proposed method is to enhance the image using high dynamic range (HDR). The tile correction and an adaptive segmentation based on image quality are applied to obtain upright characters. Finally, the combination of three well-known classifiers is used to achieve character recognition.

Keywords:
License Artificial intelligence Computer vision Computer science Character recognition Segmentation Image segmentation Key (lock) Image (mathematics) Pattern recognition (psychology)

Metrics

2
Cited By
0.31
FWCI (Field Weighted Citation Impact)
10
Refs
0.65
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Vehicle License Plate Recognition
Physical Sciences →  Engineering →  Media Technology
Handwritten Text Recognition Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Smart Parking Systems Research
Physical Sciences →  Engineering →  Building and Construction
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