Development Of Portable Automatic Number Plate Recognition (ANPR) System On Raspberry Pi

Abd Gani, Shamsul Fakhar and Hamid, Mohd Saad and Kadmin, Ahmad Fauzan and Hamzah, Rostam Affendi and Azhar, Muhammad Aidil (2019) Development Of Portable Automatic Number Plate Recognition (ANPR) System On Raspberry Pi. International Journal Of Electrical And Computer Engineering (IJECE), 9 (3). pp. 1805-1813. ISSN 2088-8708

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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.

Item Type: Article
Uncontrolled Keywords: Image processing; Number recognition; OpenCV; Portable, ANPR, Raspberry Pi
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Electrical and Electronic Engineering Technology > Department of Electronic and Computer Engineering Technology
Depositing User: Mohd Hannif Jamaludin
Date Deposited: 15 Jun 2020 15:27
Last Modified: 15 Jun 2020 15:27
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