This paper presents a novel method of identifying and recognizing license plates, required by an automatic vehicle identification system. The main challenge was the isolation of the car’s license plate, from the digital image acquired by the video system, under different illumination conditions and various angles. Thus, we have established the required preprocessing operations leading to succes...

⎯ This paper presents an automatic license plate recognition algorithm by using webcam. The images of vehicle license plate, which were captured by using webcam are noised, illuminated and skewed under natural environment. We have to preprocess to get clean binary image and extract each character area to recognize numbers. But they are not simple jobs. In this paper, the high-speed and sophisti...

This thesis is to present a new approach for license-plate recognition using 2D Haar Discrete Wavelet Transform (HDWT) and Artificial neural Network. This thesis consists of three main parts. The first part is to locate and extract the license-plate in an image. The second part is to train of the license-plate. The third part is to real time scan recognize of the license-plate. Traditional lice...

Automatic license plate recognition plays an essential role in many applications and a number of methods have been proposed. These applications range from complex security systems to common areas and from parking admission to urban traffic control. License plate recognition has hard properties due to varied effects as fog, rain, shadows, irregular illumination conditions, variable distances, ca...

Roads in the Netherlands are often heavily congested. Real-time travel time information can be a valuable instrument to reduce the impact of increasing traffic demand on travel time with advantages for traffic participants as well as for the traffic network managers. For urban roads travel time estimation is a more complex problem than for freeways. In order to provide online, real-time and acc...