Open AccessLicense Plate Recognition System Using Matlab GUI For Surveillance
Author(s) -
M. Venkata Srinu,
Venkateswara Rao Morla,
Kali Vara Prasad Baditha,
Vara Kumari. S,
Srinivas Maddimsetti
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.7.11676
Subject(s) - license , computer science , thresholding , artificial intelligence , computer vision , pixel , image processing , connected component , matlab , minimum bounding box , connected component labeling , intelligent transportation system , image (mathematics) , pattern recognition (psychology) , data mining , image segmentation , engineering , operating system , civil engineering , scale space segmentation
License plate recognition is an essential task in applications like urban vehicle management, intelligent transportation system, traffic surveillance and parking management system. In this work, we acquire the images using the mobile app and recognize license plate details with the help of our proposed image processing model. The recognized license plate details have been displayed on a customized website. The proposed image processing model does the adaptive thresholding on the images with resolution of 1280× 960. The connected component analysis using bounding boxes will be performed on threshold image. The desired plate details are highlighted by creating a region of interest for maximum magnitude row of an image based on the pixel value, then the statistical and logical operations are used to extract the candidate region. After obtaining candidate region, recognition of license plate number has been done using template matching. The complete customer details, displayed on the customized website which is connected to the database with the help of plate number. The computation time of proposed method is less than the existed methods.