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R. Affendi H.
Universiti Teknikal Malaysia Melaka (UTeM)
Computer Science & IT Electrical & Electronics Engineering

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Development of portable automatic number plate recognition (ANPR) system on Raspberry Pi S. Fakhar A. G; M. Saad H; A. Fauzan K; R. Affendi H.; M. Aidil A.
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1128.059 KB) | DOI: 10.11591/ijece.v9i3.pp1805-1813

Abstract

ANPR system is used in automating access control and security such as identifying stolen cars in real time by installing it to police patrol cars, and detecting vehicles that are overspeeding on highways. However, this technology is still relatively expensive; in November 2014, the Royal Malaysian Police (PDRM) purchased and installed 20 units of ANPR systems in their patrol vehicles costing nearly RM 30 million. In this paper a cheaper alternative of a portable ANPR system running on a Raspberry Pi with OpenCV library is presented. Once the camera captures an image, image desaturation, filtering, segmentation and character recognition is all done on the Raspberry Pi before the extracted number plate is displayed on the LCD and saved to a database. The main challenges in a portable application include crucial need of an efficient code and reduced computational complexity while offering improved flexibility. The performance time is also presented, where the whole process is run with a noticeable 3 seconds delay in getting the final output.
Co-Authors A. Fauzan K M. Aidil A. M. Saad H S. Fakhar A. G