Proceedings ArticleDOI
Chinese License Plate Detection Based on Deep Neural Network
Zhi-Kai Huang,Ling-Ying Hou +1 more
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TLDR
A deep learning method is presented for the detection of car license plate by Train a region proposal network and use the output of the RPN to train the R-CNN, shortened to a controllable range.Abstract:
Vehicle license plate, also known as a number plate, represents a legal license to participate in the public traffic. It plays an important role in detecting stolen vehicles, controlling traffic volume, ticketing speeding vehicles, and so on. In this paper, we presented a deep learning method for the detection of car license plate. We train a region proposal network and use the output of the RPN to train the R-CNN. The training time for complex large images is shortened to a controllable range. The detection time of the target area is shortened to quasi real time, and the accuracy is also considerable.read more
Citations
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Journal ArticleDOI
Automatic Number Plate Recognition:A Detailed Survey of Relevant Algorithms.
TL;DR: A detailed survey of current techniques and advancements in Automatic-Number-Plate-Recognition (ANPR) systems, with a comprehensive performance comparison of various real-time tested and simulated algorithms, including those involving computer vision (CV) is presented in this paper.
Proceedings ArticleDOI
Two-Stage License Plate Recognition System using Deep learning
Cheng-Hung Lin,Yi-Sin Sie +1 more
TL;DR: A new two-stage methodology based on deep learning technology which first detects all the license plates in a picture and extracts thelicense plate images, and then performs character recognition on the license plate images using Convolutional Neural Networks shows the superiority in both accuracy and performance in comparison with traditional license plate recognition systems.
Journal ArticleDOI
License Plate Detection Using Convolutional Neural Network–Back to the Basic With Design of Experiments
TL;DR: In this article , the authors focus on the design of experiment (DOE) of training parameters in transferring YOLOv3 model design and optimising the training specifically for license plate detection tasks.
Journal ArticleDOI
Study for License Plate Detection
TL;DR: This paper presents the critical study of the license plate detection system and also examines the implementation of new technologies of the License Plate detection system.
Proceedings ArticleDOI
License Plate Location Based on Combination of Deep Learning and Feature Fusion
TL;DR: The test results show that the method can satisfy the precise license plate location under the different shooting angles and illuminations, and lay a foundation for improving the accuracy and robustness of license plate recognition in the future.
References
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Tamás Roska,Leon O. Chua +1 more
TL;DR: The CNN universal machine is described, emphasizing its programmability as well as global and distributed analog memory and logic, high throughput via electromagnetic waves, and complex cells that may be used also for simulating a broad class of PDEs.
A review on image segmentation techniques
TL;DR: This paper provides a review on the various image segmentation techniques proposed in the literature and shows how to cluster pixels into salient image regions corresponding to individual surfaces, objects, or natural parts of objects.