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In this paper, a modified K-means algorithm is proposed to categorize a set of data. K-means algorithm is a simple and easy clustering method which can efficiently classify a large number of continuous numerical data of high-dimensions. Moreover, the data in each cluster are similar to one another. However, it is vulnerable to outliers and noisy data, and it spends much executive time in classifying...
Extracting the VLP number from a VLP image is considered to be one of the most important stages of vehicle license plate recognition (VLPR) system, it greatly influence the overall recognition accuracy and processing speed of the whole system. This paper presents an algorithm to extract the VLP number from the VLPs. The distorted VLPs are also studied to develop a transformation to calibrating the...
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