Automatic license plate recognition (ALPR) used for many applications especially in security applications, including border control. However, more accurate and language-independent techniques are still needed. This work provides a new approach to identifying Arabic plates different formats, colors, even English characters. Numbers, characters, layouts with either 1-line or 2-line presented. For...

A license plate recognition system is an automatic system that is able to recognize a license plate number, extracted from an image device. Such system is useful in many fields and places: parking lots, private and public entrances, border control, theft and vandalism control. In our paper we designed such a system. First we separated each digit from the license plate using image processing too...

Content-based image retrieval (CBIR) techniques have been applied to forensic science databases, such as fingerprints, bullets and cartridge cases of firearms, drug tablet, etc. Similar techniques are also extended to video data. Automatic license plate recognition (ALPR) is one of the most important applications. In Taiwan, ALPR has been equipped in many intelligent surveillance systems. It he...

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. The illuminated images are bett...

Detection of vehicle license plate is vital for identifying the vehicle because the license plate has unique information for each vehicle. However, in India, vehicle license plate standards, though they exist, are rarely practiced. Large amount of variations are seen in the parameters of license plate like size of number plate, its location, background and foreground color, etc. which makes the...

One of the central issues in vehicle license recognition is designing a detector to localize license plates which are fast and accurate. We present a new approach for vehicle license plate detection using a fusion of unigram and bigram model with Speeded Up Robust Features (SURF). SURF descriptor is obtained from each keypoint to build the unigram model while difference-of-SURF for each doublet...

This project will focus on the design of algorithms used for extracting the license plate from a single image, isolating the characters of the plate and identifying the plate region. This section presents a method for extracting license plates based on the Hough t rans form . The algorithms were developed using a set o f t r a i n i n g i m a g e s , a n d t e s t e d o n images taken under var...