Deep Learning Based Segmentation Free License Plate Recognition Using Roadway Surveillance Camera Images

Smart automated traffic enforcement solutions have been gaining popularity in recent years. These solutions are ubiquitously used for seat-belt violation detection, red-light violation detection and speed violation detection purposes. Highly accurate license plate recognition is an indispensable par...

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Bibliographic Details
Published in:arXiv.org 2019-12
Main Authors: Alperen Elihos, Balci, Burak, Alkan, Bensu, Artan, Yusuf
Format: Article
Language:English
Subjects:
Algorithms
Cameras
Character recognition
Deep learning
Image detection
Image resolution
Image segmentation
License plates
Machine learning
Object recognition
Roads
Seat belts
Surveillance
Traffic surveillance
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Summary:Smart automated traffic enforcement solutions have been gaining popularity in recent years. These solutions are ubiquitously used for seat-belt violation detection, red-light violation detection and speed violation detection purposes. Highly accurate license plate recognition is an indispensable part of these systems. However, general license plate recognition systems require high resolution images for high performance. In this study, we propose a novel license plate recognition method for general roadway surveillance cameras. Proposed segmentation free license plate recognition algorithm utilizes deep learning based object detection techniques in the character detection and recognition process. Proposed method has been tested on 2000 images captured on a roadway.
ISSN:2331-8422