License Plate Detection Using Harris Corner and Character Segmentation by Integrated Approach from an Image

• Published in: Procedia computer science Vol. 79; pp. 419 - 425
• Main Authors: Patel, Hetal, TP, Panchal, Ami
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2016
• Subjects: Aspect Ratio(AR); Automatic License Plate Recognition(ALPR); Character segmentation; Connected Component Analysis(CCA); Corner Points(CP); License Plate(LP); Pixel Count(PC); Pixel Count(PC); Aspect Ratio(AR); License Plate(LP); Automatic License Plate Recognition(ALPR); Corner Points(CP); Connected Component Analysis(CCA); Character segmentation
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2016.03.054

This paper addresses License Plate localization with the integrated segmentation approach. As the significance of open travel framework builds an Automatic License Plate Recognition has ended up being a critical exploration subject. ALPR furnished with numerous keen observation frameworks like, street activity administration, security administration, programmed toll gathering framework, and so on. Various systems have been offered for license plate recognition, every bearing its own particular points of interest and hindrances. The crucial step in ALPR system is the precise confinement of number plate, Segmentation, Recognition. Harris corner algorithm is proposed in this paper which end up being robust in changing motion and illuminated lightning conditions. While the precision of License Plate restriction is fed forward to the Segmentation stage. The Segmentation is accomplished by a method of connected component analysis consolidated with Pixel count, Aspect ratio and Height of characters. Toward the end, the simulated results are shown with conclusion and future work.