This paper proposes a robust system to recognize vehicle license plate by multi-frames learning. To fast locate the position of a license plate, we adopt a morphology-based method to extract important contrast features as filters to find all possible license plate candidates after calculating motion energy from video frames. The contrast feature is robust to lighting changes and invariant to di...

Automatic license plate detection and recognition has numerous applications. A large number of schemes have already been proposed in order to make the detection and recognition process efficient. However, a very little work has been done on Bengali license plate recognition. Wide variation among the license plate patterns, complex background, and the difficulty in segmenting Bengali characters ...

License Plate Recognition Systems are used to determine the license plate number of a vehicle. The current system mainly uses Optical Character Recognition to recognize the number plate. There are several problems to this system. Some of them include interchanging of several letters or numbers (letter ‘O’ with digit ‘0’), difficulty in localizing the license plate, high error rate, use of diffe...

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-process...

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...