Automatic Vehicle Number Plate Recognition Approach Using Color Detection Technique

Muhammad Ayaz; Dr. Said Khalid Shah; Dr. Muhammad Javed; Muhammad Assam; Wasiat Khan; Fahad Najeeb

Authors

Muhammad Ayaz Department of Computer Science University of Science and Technology Bannu, Pakistan.
Dr. Said Khalid Shah Department of Computer Science University of Science and Technology Bannu, Pakistan.
Dr. Muhammad Javed Department of Computer Science University of Science and Technology Bannu, Pakistan.
Muhammad Assam College of Computer Science and Technology Hangzhou 310027, China.
Wasiat Khan Department of Software Engineering, University of Science and Technology, Bannu, KP Pakistan
Fahad Najeeb Department of Computer Science University of Science and Technology Bannu, Pakistan.

Keywords:

Number plate recognition, color detection, contours, HSV color format, Douglas Peucker Algorithm, optical character recognition (OCR)

Abstract

An Automatic Vehicle Number Plate Recognition System (AVNPR) is a key research area in image processing. Various techniques are developed and tested by researchers to improve the detection and recognition rate of AVNPR system but faced problems due to issues such as variation in format, lighting conditions, scales, and colors of number plates in different countries or states or even provinces of a country. Douglas Peucker Algorithm for shape approximation has been used in this research to detect the rectangular contours and the most prominent rectangular contour is extracted as a number plate (NP) and the connected component analysis is used to segment the characters followed by optical character recognition (OCR) to recognize the number plate characters. A custom dataset of 210 vehicle images with different colors at various distances and lighting conditions was used for the proposed method captured on my smart phone Galaxy J7 Model SM-j700F at roads and parking. The dataset contains various types of vehicles (i.e. Trucks, motorcars, mini-buses, tractors, pick-ups etc). The proposed method shows an average result of 95.5%. The novelty used in this method is that it works for different colors simultaneously because in Pakistan, several colors are used for vehicle NPs.

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