License plate localization is considered to be the significant process in Automatic Number Plate Recognition (ANPR) system, because the accuracy rate of license plate recognition relies on the performance of license plate localization. The majority of license plate localization papers are dedicated to daytime where many appearances can be used to locate license plate. The researches were also r...

The decision whether to obtain a driving license has a substantial effect on a person’s travel behaviour for the rest of his/ her life and on lifetime CO2 emissions. In heavily motorized societies, non-drivers often decide to obtain a driving license simply because others one, and with little unawareness of the negative aspects of automobile use. It is hypothesized that providing non-drivers wi...

Automatic license plate recognition (ALPR) is the extraction of vehicle license plate information from an image or a sequence of images. The extracted information can be used with or without a database in many applications, such as electronic payment systems (toll payment, parking fee payment), and freeway and arterial monitoring systems for traffic surveillance. It is widely used in various ar...

Recognition of license plate images is the topic of this paper. The major issue in this problem is the accurate extraction of the license plate character string from varying backgrounds using processing techniques that are reasonably fast. The images are also characterized by non-uniform illumination. Recognition of the string is relatively straightforward, if the extraction process has been co...

This paper proposes an algorithm that automatically reads license plate from videos that has taken from personal devices. Unlike commonly used license plate reader in toll payment or road control system, video from personal devices usually has more variation in viewing angle, resolution, shutter speed and so on. This work read single frame from video first, then extract the license plate by det...

Automatic license plate recognition (ALPR) is one of the most important aspects of applying computer techniques towards intelligent transportation systems. In order to recognize a license plate efficiently, however, the location of the license plate, in most cases, must be detected in the first place. Due to this reason, detecting the accurate location of a license plate from a vehicle image is...