نتایج جستجو برای: license plate recognitions systems
تعداد نتایج: 1299757 فیلتر نتایج به سال:
A license plate recognition system contains three main steps: plate detection, character segmentation and character recognition. The first and foremost step of this system is the plate detection stage where the plate is located from the input image. In this paper an effective plate detection approach is developed based on a cascade classifier. A two-phase training approach is proposed to enhanc...
We propose a novel method for license plate detection in nighttime videos with complicated background scenes. The proposed method use multi-features-based combination way in the residual edge image. Our work firstly is color space conversion from RGB to La*b* color space and get enhancement L component of license plate image, then extract out multi-features of license plate, thirdly, multi-feat...
We propose a fast plate segmentation algorithm for automatic license plate recognition systems which is stable to plate rectangle localization inaccuracies and image brightness distortions. The algorithm uses a priori information about the geometry of standard plate types and additionally makes adjustments to symbols positions through localization errors estimation and correction. We introduce ...
Vehicle License Plate Identification and Recognition (VLPIR) uses image processing and character recognition technology in order to identify the license plate number automatically. VLPIR system are used for the purpose of effective traffic control, security applications such as access control to restricted areas and tracking of car, tracing of stolen cars, identification of dangerous and reckle...
Automatic license plate recognition (ALPR) system for vehicles is a challenging area of research due to its importance to a wide range of commercial applications. The first and the most important stage for any ALPR system is the localization of the license plate within the image captured by a camera. Variety of techniques has already been reported for localization of license plate and recogniti...
This paper propose the robust character segmentation method for license plate with topological transform such as twist, rotation. The first step of the proposed method is to find a candidate region for character and license plate. The character or license plate must be appeared as closed loop in the edge image. In the case of detecting candidate for character region, the evaluation of detected ...
This paper provides a new and fast method for matching and recognition of characters in Arabic license plate images. For this purpose, various methods have been proposed in literature. However, most of them suffer from: sensitivity to non-uniform illumination distribution, existence of shade in license plate, license plate color and the need for receiving an exact image of the license plate. Th...
License plate recognition (LPR) by digital image processing, which is widely used in traffic monitor and control, is one of the most important goals in Intelligent Transportation System (ITS). In real ITS, the resolution of input images are not very high since technology challenges and cost of high resolution cameras. However, when the license plate image is taken at low resolution, the license...
One of the most useful techniques in traffic management, speed control and security improvement in big cities is Automatic License Plate Recognition (ALPR). During the last two decades many techniques for license plate detection have been developed. Four methods suggested for vehicle license plate recognition are studied and compared in this paper. The main focus of all of these methods is on s...
Automatic vehicle license plate recognition system plays an important role in Intelligent Transportation System. Even though many license plate recognition methods have been proposed in the past, further scope for improvement still exists. This paper has proposed a new approach to license plate recognition system based Harris corner detection algorithm. In this paper connected component analysi...
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