JIPS (한국정보처리학회)
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| 한글제목(Korean Title) |
Number Plate Detection with a Multi-Convolutional Neural Network Approach with Optical Character Recognition for Mobile Devices |
| 영문제목(English Title) |
Number Plate Detection with a Multi-Convolutional Neural Network Approach with Optical Character Recognition for Mobile Devices |
| 저자(Author) |
Christian Gerber
Mokdong Chung
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| 원문수록처(Citation) |
VOL 12 NO. 01 PP. 0100 ~ 0108 (2016. 03) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
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.
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| 키워드(Keyword) |
Convolutional Neural Network
Number Plate Detection
OCR
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| 파일첨부 |
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