Abstract
A vehicle’s license plate is the unique feature by which to identify each individual vehicle. As an important research area of an intelligent transportation system, the recognition of vehicle license plates has been investigated for some decades. An approach based on a visual attention model and deep learning is proposed to handle the problem of Chinese car license plate recognition for traffic videos. We first use a modified visual attention model to locate the license plate, and then the license plate is segmented into seven blocks using a projection method. Two classifiers, which combine the advantages of convolutional neural network-based feature learning and support vector machine for multichannel processing, are designed to recognize Chinese characters, numbers, and alphabet letters, respectively. Experimental results demonstrate that the presented method can achieve high recognition accuracy and works robustly even under the conditions of illumination change and noise contamination.
Highlights
In the past two decades, intelligent transportation systems have been developed to improve public transportation safety and mobility by integrating multiple advanced technologies
We aim to address the problem of Chinese car license plate recognition in traffic videos for civil use
In order to obtain high recognition rates, in this paper, we propose two classifiers to recognize Chinese license plate segments by coupling Convolutional neural network (CNN)-based feature learning and support vector machine (SVM) into a single framework for multichannel processing
Summary
In the past two decades, intelligent transportation systems have been developed to improve public transportation safety and mobility by integrating multiple advanced technologies. A license plate is a unique feature by which to identify each individual vehicle. Automatic recognition of vehicle license plates, as an important research area of an intelligent transportation system, has already been widely studied for some decades. We aim to address the problem of Chinese car license plate recognition in traffic videos for civil use. The Chinese car license plate consists of seven segments, where the left most segment is a Chinese character with 31 possible values indicating the region to which the car belongs. There exist many research articles regarding car license plate recognition. Due to the presence of dense edge sets, edgebased methods[1,2,3,4,5,6,7] are the most popular ways to localize the license plates. Texture[8,9] or the combinations of colors[10,11,12] are considered as key features for license
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