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Development of portable automatic number plate recognition (ANPR) system on Raspberry Pi

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 9 No. 3 (2019)

DOI
10.11591/ijece.v9i3.pp1805-1813
ISSN
2088-8708, 2088-8708
Published
2019-06-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

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.

Collaboration network of the authors

23 authors · 67 co-authorship links · 9 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universiti Teknikal Malaysia Melaka
  • Rabdan Academy
  • Binus University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Keshu FenUniversiti Teknikal Malaysia Melaka4
Ahmad Fauzan KadminUniversiti Teknikal Malaysia Melaka2
Nurulfajar Bin Abd ManapUniversiti Teknikal Malaysia Melaka1
Mohd SaadUniversiti Teknikal Malaysia Melaka1
Nadzrie NadzrieUniversiti Teknikal Malaysia Melaka1
Tg. Mohd FaisalUniversiti Teknikal Malaysia Melaka1
Siti Asma Che AzizUniversiti Teknikal Malaysia Melaka1
N. RahimUniversiti Teknikal Malaysia Melaka1
Wan Haszerila Wan HassanUniversiti Teknikal Malaysia Melaka1
I. F. A. AzizUniversiti Teknikal Malaysia Melaka1
Mohd Saad HamidUniversiti Teknikal Malaysia Melaka1
Melvin Gan Yeou WeiUniversiti Teknikal Malaysia Melaka1
Nik Syahrim Nik AnwarUniversiti Teknikal Malaysia Melaka1
Jamil Abedalrahim Jamil AlsayaydehUniversiti Teknikal Malaysia Melaka1
Mohd Faizal YusofRabdan Academy1
Mithilanandini S. MagenthiranUniversiti Teknikal Malaysia Melaka1
Izadora Binti MustaffaUniversiti Teknikal Malaysia Melaka1
Safarudin Gazali HerawanBinus University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Development of portable automatic number plate recognition (ANPR) system on Raspberry Pi</dc:title><dc:creator>A. G, S. Fakhar</dc:creator><dc:creator>H, M. Saad</dc:creator><dc:creator>K, A. Fauzan</dc:creator><dc:creator>H., R. Affendi</dc:creator><dc:creator>A., M. Aidil</dc:creator><dc:description>&lt;jats:p&gt;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.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2019-06-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v9i3.pp1805-1813</dc:identifier><dc:identifier>10.11591/ijece.v9i3.pp1805-1813</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 9 No 3 (2019); 1805</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/17263/12352</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>