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크리스찬거버 ( Christian Gerber ),정목동 ( Mokdong Chung ) 한국정보처리학회 2014 한국정보처리학회 학술대회논문집 Vol.21 No.2
A method is proposed to achieve improved number plate detection for mobile devices by applying a two-step convolutional neural network (CNN) approach. Supervised CNN-verified car detection is processed first. In the second step, we apply the detected car regions to the second supervised CNN-verifier for number plate detection. Since mobile devices are limited in computing power, we propose a fast method to detect number plates. We expect to use in the field of intelligent transportation systems (ITS).