A Vehicle License Plate Recognition with Improved Character Segmentation & Recognition Techniques
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 6
Abstract
A License Plate Recognition (LPR) System is one kind of an Intelligent Transport System and is of considerable interest because of its potential applications in highway electronic toll collection, security systems and traffic monitoring systems. All the above applications required reliable License Plate Recognition software system. In this paper, we provide an efficient technique for solving number plate recognition on different vehicles. We use three basic concepts of license plate recognition such as – plate localization, character segmentation and character recognition. For plate localization, we use hybrid approach of histogram equalization, edge detection, filtering and component analysis. All these techniques play an important role in the extraction process. For character segmentation, an interpolation algorithm based on information obtained by filtering and adaptive thresholding is used to separate each character. For character extraction we use artificial neural network along with optical character reader concepts.
Authors and Affiliations
Nupur . , Alisha
Keywords
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