Number Plate Detection with a Multi-Convolutional Neural Network Approach with Optical Character Recognition for Mobile Devices

In this paper, we propose a method to achieve improved number plate detection for mobile devices by applying a multiple convolutional neural network (CNN) approach. First, we processed supervised CNNverified car detection and then we applied the detected car regions to the next supervised CNN-verifi...

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Bibliographic Details
Published in:Journal of information processing systems 2016, 12(1), 39, pp.100-108
Main Authors: Christian Gerber, 정목동
Format: Article
Language:English
Subjects:
컴퓨터학
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Summary:In this paper, we propose a method to achieve improved number plate detection for mobile devices by applying a multiple convolutional neural network (CNN) approach. First, we processed supervised CNNverified car detection and then we applied the detected car regions to the next supervised CNN-verifier for number plate detection. In the final step, the detected number plate regions were verified through optical character recognition by another CNN-verifier. Since mobile devices are limited in computation power, we are proposing a fast method to recognize number plates. We expect for it to be used in the field of intelligent transportation systems. KCI Citation Count: 0
ISSN:2092-805X
1976-913X
2092-805X
DOI:10.3745/JIPS.04.0022