Citation

Abdelaziz, Abdelsalam Hamdi and Chan, Yee Kit and Koo, Voon Chet (2021) Enhancement for License Plate Recognition using Image Super Resolution technique. In: 2021 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 12-13 June 2021, Kuala Lumpur, Malaysia.

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Abstract

License Plate Recognition (LPR) is one of the important applications of AI, however due to image blurring and low resolution, the Optical Character Recognition (OCR) models are unable to recognise the text accurately. Therefore, we propose a deblurring and image super resolution model for image recovery using deep learning and convolutional neural networks. Our results show an improvement of the Peak Signal to Noise Ration (PSNR) from 30.182 to 31.696. It is shown that adding a deblurring and image super resolution model can improve the OCR accuracy up to 62% from 12% and the average error rate from 6.1 to 2.6 per image.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Integrated optics, Image resolution
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Oct 2021 04:26
Last Modified:	04 Oct 2021 04:26
URII:	http://shdl.mmu.edu.my/id/eprint/9627

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