Real-Time Number Plate Recognition Using Raspberry PI
Mrs. Asma Iqbal
, Mohammed Mujataba Maaz , Syed Amaan Fayaz , Mohd Sohaib Hussain
The project presents a real-time license plate recognition system using connected component analysis and a template matching model for accurate identification. Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image. The objective of this project was to recognize the number plate of the vehicle which passes through the system and capture its image by a camera automatically using raspberry Pi4. When the number plate is recognized, the light turns green. When the number plate is not recognized, the light turns red. Open CV and OCR (optical character recognition) platforms are used in this system. Automation is one of the most frequently used terms in electronics, because of which revolution has occurred in the existing technologies.
This paper uses a microcontroller, which is commonly termed a Raspberry Pi4 processor. It acts as the heart of the project. This microcontroller can efficiently communicate with the input and output modules used. It was firstly developed in the UK by the Raspberry Pi foundation and is the size of a credit card.
Security is essential nowadays, and our system will help recognize the number plate of vehicles when they arrive at the gate. The same system can be used in areas where security is of utmost importance. The recognition of the vehicle number plate works in four steps. The first one is image acquisition, the second is license plate extraction, the third one is license plate segmentation, and the last one is character recognition. Furthermore, OCR is the process that converts an image into text.
"Real-Time Number Plate Recognition Using Raspberry PI", IJEDR - INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH (www.IJEDR.org), ISSN:2321-9939, Vol.10, Issue 2, page no.160-164, June 2022, Available :https://rjwave.org/IJEDR/papers/IJEDR2202027.pdf
Volume 10
Issue 2,
May-2022
Pages : 160-164
Paper Reg. ID: IJEDR_220114
Published Paper Id: IJEDR2202027
Research Area: Engineering
Country: Hyderabad, Telangana, India
ISSN: 2321-9939 | IMPACT FACTOR: 9.37 Calculated By Google Scholar | ESTD YEAR: 2013
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.37 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJEDR (IJ Publication) Janvi Wave
