Improved algorithm for number Automatic number plate segmentation using 2D-wavelet and morphological operators

Volume: 2    Issue: 7

Year of Publication: 2016

Pages: (31-36)

Authors: Komal Jaswal, Vijay Kumar Singh, Sanjay

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Abstract

In India, the quantity of vehicles has growing in agreement with the innovation. The need to perceive the vehicles has expanded in parallel to the quantity of the vehicles. Need of vehicle acknowledgment was risen for the instances of security, programmed exchanging frameworks, roadway speed location, light infringement. Tag acknowledgment framework comprises of three principle subjects: finding plate area from advanced pictures, character division from the plate pictures and character acknowledgment from sectioned characters. In this Thesis, a study is led on character segmentation from plate picture and character acknowledgment from segmented area. For the completion of above task we have used wavelet based denoising first, and subsequently the morphological operator which produces binariesed image which is further compare the template which is being already saved in the database, in our proposed scheme we have achieved 99.7% accuracy which is the higher accuracy ever mentioned in the literature. As well as the time and space complexity of our algorithm is the lowest. So we can say that proposed algorithm is best algorithm present in the literature.

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