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In the vehicle license plate recognition system, the accuracy of location directly decides the effect of latter recognition part. Since the Chinese license plates have complex colors and characters, former methods only can locate certain bounding rectangle of the plate but not the minimum one. Therefore interferences like plate frame and vehicle light may be included in the rectangle, and lead to...
Find a car in large park is a challenge for intelligent parking lot management system. In this paper, an intelligent car-searching approach for large parking lot is presented. In the new approach, some cameras are set up in each road. Vision information of the car, including car color and license plate are recognized and saved in database. Considering that no license plate recognition system can 100%...
Slant Correction plays an important role in the pretreatment during the recognition of vehicle license plate (VLP). To reduce and avoid the interference from the dirt, noise and frame of the VLP, as well as simplify the computation load, a method of slant correction of VLP integrates PCA (Principal Component Analysis) based on color-pair feature and radon transformation is presented in this paper...
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...
This paper presents an efficient and smart approach to the vehicle license plate location based on characteristics of fractal dimension. The proposed algorithm consists of three major parts: pretreatment of license plate, search of license plate and extraction of plate region. In this study, we firstly research the normalization of license plate image and the criteria how to select the image enhancement...
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