• Anjli Varghese
• R Srikantaswamy

Vehicle license plate is the only trustworthy identity of a vehicle in Intelligent Transportation System (ITS), and corrects vehicle identification mainly depends on accurate Automatic License Plate Recognition (ALPR) system. The aim of this paper is to design a robust ALPR system that can deal with different license plate formats with different character fonts. This paper highlights a hybrid license plate extraction algorithm, Connected Component Analysis (CCA) and spectral analysis based character segmentation, finally, Linear Discriminant Analysis (LDA) based character recognition with two separate alphanumeric recognition engines.

Optical flow, edge analysis, spectral analysis, CCA, LDA

"Improving License Plate Recognition Rate using Hybrid Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 8, page no.276-281, August-2018, Available :http://www.jetir.org/papers/JETIRD006039.pdf

"Improving License Plate Recognition Rate using Hybrid Algorithms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 8, page no. pp276-281, August-2018, Available at : http://www.jetir.org/papers/JETIRD006039.pdf