Short Communication
Year: 2023 | Month: April-June | Volume: 8 | Issue: 2 | Pages: 178-186
DOI: https://doi.org/10.52403/ijshr.20230221
Image Enhancement and Automated Number Plate Recognition
Pritam Ahire1, Saiprasad Kadam2, Ajay Jagtap3, Atharva Jagtap4
1Professor, 2,3,4Student,
Department of Computer Engineering,
Nutan Maharashtra Institute of Engineering and Technology, Savitribai Phule Pune University, Pune, India
Corresponding Author: Saiprasad Kadam
ABSTRACT
Automatic Number Plate Recognition (ANPR) and Vehicle Number plate detection (VNPD) systems. ANPR, is a technology that enables automatic detection, recognition, and identification of vehicle license plates, while VNPD is a subset of ANPR that focuses specifically on detecting and recognizing license plates.Several researchers have explored different approaches to ANPR and VNPD systems, as evidenced by the various papers listed. For instance, presented an e security system for vehicles number tracking at a parking lot, proposed a method of monitoring traffic signals, and violations using ANPR and GSM. In order to proceed, the conventional Grab Cut algorithm must first interactively give a candidate frame. for the target detection job to be done.To automate the identification of the licence plate by the Grab Cut algorithm, we update the candidate frame by incorporating the aspect ratio of the licence plate as the foreground extraction feature. Then, to fully implement picture noise reduction, we combined the Bernsen algorithm with the Wiener filter, which is extensively used in the fields of digital signal processing in order to increase the detection precision of conventional target identification techniques. Overall, the papers listed in the question demonstrate the wide-ranging applications of ANPR and VNPD technologies, from parking lot security to traffic signal control to driver assistance systems. These technologies have the potential to improve safety, efficiency, and security on the road, and researchers continue to explore new approaches to their development and implementation.
Keywords: Detection of Number Plate, Convolutional Neural Network-(CNN), Object detection, character identification, Machine Learning-(ML).