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In this paper character recognition in Saudi Automobile License Plates is described. Due to special properties of Saudi license plates, simpler procedures as compared to the ones used for Lebanese plates have been developed. A limited character set for recognition enables the development of smaller recognition trees. The process relies on processing pixels along vertical and horizontal lines taken...
In order to improve the accuracy of license plate character segmentation, this paper strengthens preprocessings before segmentation. In character binarization, use improved Bernsen method to reduce noise interference; use line-shape filter to remove plate frames. Then character segmentation approach combines projection and inherent characteristics of character, can better solve character adhesion...
My paper accomplishes the problem of recognizing the license plate number from the license plate image with a simple and fast method in order to resolve the problem that is too complicated and high cost in recognizing license plate number of Intelligent Transportation System. This paper extracts the license plate image from rows and lines with the method of counting color pixels. We use the method...
This paper proposes one kind of multiple moving pedestrians' detection and recognition method in the driver assistance system which is based on the computer vision. Firstly, it uses the improved Consecutive Frames Subtraction to establish a background model for sequence images, and unifies Background Subtraction to carry on an effective detection for multiple moving objects, thus obtains the clearer...
This paper presents a character segmentation method of vehicle license plate using modified vertical projection. After analyzing the reason of failure of traditional segmentation methods, the paper gives some methods to deal with character adhesion and segmentation mistakes, which improves the success probability of segmentation obviously. The most valuable feature of this new algorithm is that it...
A common problem encountered in signboard recognition is the perspective distortion of characters. In this paper, we propose a method which is able to directly recognize characters under severe perspective distortion without perspective rectification. In this method, a character is represented by a sequence of cross ratio spectra, in which the perspective effect can be modeled as an one-dimensional...
At present, the widely applied OCR system has a high recognition for printed texts, however it doesn't have a good recognition schema for formulas. In order to locate and recognize printed formulas accurately, this paper conducted researches according to the following several aspects: use Adaboost method to locate formulas automatically, image processing to obtain thinned formula area, moment method...
Propose some algorithms about image smooth magnification and character segmentation, aiming at the difficult factor of little license plate region segmentation, in license plate recognition. In the algorithm, describe the relationship between image and surface, with Cardinal curve construction and sampling methods, magnify image smoothly in transverse and longitudinal direction, take image binarization...
In the automated license plate recognition system, many reading errors are caused by inadequate character recognition method. This paper presents a novel character recognition method of license plate number based on parallel BP neural networks. This will enhance the accuracy of the recognition system that aims to read automatically the Chinese license plate. In the proposed methodology, the character...
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