With the explosive growth in the number of vehicles in use, automated license plate
recognition (ALPR) systems are required for a wide range of tasks such as law enforcement …

License plate recognition (LPR) algorithms in images or videos are generally composed of
the following three processing steps: 1) extraction of a license plate region; 2) segmentation …

This paper presents a solution for the license plate recognition problem in residential
community administrations in China. License plate images are pre-processed through …

License plate recognition (LPR) is one of the most important applications of applying
computer techniques towards intelligent transportation systems (ITS). In order to recognize a …

In this paper the text found on the vehicle plates is detected from the input image and this
requires the localization of number plate area in order to identify the characters present on it …

Intelligent Traffic Systems (ITS) is an integral component of modern day road transportation
networks. Identification of vehicles is one of the most important challenges to be addressed …

Motorcycle customers are a dominant consumer group in developing countries or regions
around the world. Although motorcyclist parking is very important to the management and …

Due to the variation of background, illumination, and view point, license plate detection in an
open environment is challenging. We propose a detection method by boundary clustering …

Automated license plate recognition is important in many contexts like security and law
enforcement, monitoring vehicles, automated parking control, etc. To enable these …

This paper presents a number plate detector based on combination of AdaBoost and
connected component analysis (CCA) algorithms. The system is known as Malaysian Car …