Automatic license plate recognition using Image Enhancement technique With Hidden Markov Model

Huge number of vehicles in modern cities makes the Traffic Surveillance a complex one. Therefore, it’s essential to establish an efficient Automatic License Plate Recognition (ALPR) system for Traffic scheduling and Management. In this paper we propose an Automatic License Plate Recognition System for Recognizing the License plate Number. To deals with the illumination problem, good pre-processing methods (Image Enhancement) are used to remove the influence of lighting and to make the license plate salient. Our proposed System contains three main modules: Vehicle License Plate detection (VLPD), Segmentation and Plate number Recognition. The query image is enhanced to support over bright images by using Image Enhancement technique. The speed and accuracy of the image in enhanced by using Contour algorithm (CA) and Hough transform (HT). Horizontal and Vertical projection techniques are used to separate the character from license plate image. Finally the plate numbers are recognized by Hidden Markov Model (HMM) and Optical Character Recognition (OCR) Technique.