Open AccessLicense Plate Recognition
Author(s) -
Balwant Ram,
P. Naga Sai Teja,
Y. Sai Avinash Kumar,
Ch. Sai Raj
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2063126
Subject(s) - artificial intelligence , computer vision , license , computer science , segmentation , image (mathematics) , image processing , connected component , character (mathematics) , image segmentation , frame (networking) , canny edge detector , edge detection , pattern recognition (psychology) , mathematics , telecommunications , geometry , operating system
License Plate Recognition (LPR) system is an application of computer vision and image processing technology that takes video of vehicles and take the vehicle frame as input image and by extracting their number plate from whole vehicle image, it displays the number plate information into text. The overall accuracy and efficiency of whole LPR system depends on number plate extraction phase as character segmentation and character recognition phases are also depend on the output of this phase. Higher be the quality of captured input vehicle image more will be the chances of proper extraction of vehicle number plate area. The approach used to segment the image is bilateral filtering algorithm and canny edge detection algorithm. Then we predict the license plate from processed image using py–tesseract OCR and match the retrieved text which is vehicle number plate with database. Finally we get the details of the particular vehicle from the database.