License Plate Recognition System Based on Deep Learning

Tzung Yan Tsai, Zhe Yu Lu, Ching Chun Huang

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

Abstract

We proposed a license plate recognition system based on the YOLOv2 framework. It contains a plate detection network and a plate recognition network. When we input a car image, the first network can detect the position of license plates, and the second network can recognize the characters within the detected plate. Besides, we modify the loss function to train the YOLOv2 for character recognition. Finally, the system outputs the predictive plate numbers after post-processing. Currently, the recognition accuracy can reach 97%, and at least 5 pictures can be recognized in one second.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728132792
DOIs
StatePublished - May 2019
Event6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019 - Yilan, Taiwan
Duration: 20 May 201922 May 2019

Publication series

Name2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019

Conference

Conference6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
CountryTaiwan
CityYilan
Period20/05/1922/05/19

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