License plate detection and recognition using a dual-camera module in a large space

Chin Chuan Han, Cheng Ta Hsieh, Ying Nong Chen, Gang Feng Ho, Kuo Chin Fan, Chang Lung Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this study, a calibrated dual-camera device, a fixed camera and a pan-tilt-zoom camera, is setup to monitor moving vehicles in an open space. This device not only tracks multiple targets but also gets the license plate images with high quality. Next, a convolutional neural network(CNN) is designed to be a detector and a character classifier for efficiently locating the regions of license plates and recognizing the alphabets on them. Two working environments were setup at the entrance of a university and at a pedestrian-only region in campus. Some experimental results are given to show the validity of the proposed approach.

Original languageEnglish
Title of host publicationProceedings 2007 41st Annual IEEE International Carnahan Conference on Security Technology, ICCST
Pages307-312
Number of pages6
DOIs
StatePublished - 2007
Event2007 41st Annual IEEE Carnahan Conference on Security Technology, ICCST - Ottawa, ON, Canada
Duration: 8 Oct 200811 Oct 2008

Publication series

NameProceedings - International Carnahan Conference on Security Technology
ISSN (Print)1071-6572

Conference

Conference2007 41st Annual IEEE Carnahan Conference on Security Technology, ICCST
Country/TerritoryCanada
CityOttawa, ON
Period8/10/0811/10/08

Keywords

  • Convolution neural network
  • Dualcamera device
  • License plate detection/recognition
  • Video surveillance

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