Paper Title :Number Plate Character Extraction Using CNN
Author :Deepak Kumar, Om Parkash Sinha
Article Citation :Deepak Kumar ,Om Parkash Sinha ,
(2023 ) " Number Plate Character Extraction Using CNN " ,
International Journal of Soft Computing And Artificial Intelligence (IJSCAI) ,
pp. 53-56,
Volume-11,Issue-2
Abstract : Using license plate recognition technology, the vehicle registration number can be automatically recognized and
retrieved, helping to gather information about the vehicle in an emergency. However, license plate recognition can be very
difficult, especially in foggy and foggy conditions, where fog and mist can severely blur the lines and lettering on the license
plate, making it difficult to identify. Various single-image dark channel de-fogging algorithms aim to solve the problem of
image blur in a fast and efficient manner. Such algorithms rely on prior dark channel theory to estimate airglow, which
serves as a key parameter for haze removal. This paper describes the use of Sobel technique and image formation for car
license plate recognition and OCR technique is used to extract car number.
Keywords - Vehicle number plate, Vehicle License, dehazing, image morphing, ocr
Type : Research paper
Published : Volume-11,Issue-2
DOIONLINE NO - IJSCAI-IRAJ-DOIONLINE-20428
View Here
Copyright: © Institute of Research and Journals
|
 |
| |
 |
PDF |
| |
Viewed - 23 |
| |
Published on 2024-03-14 |
|