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Automatic Identification of Vehicle License Plates

机译:自动识别车辆牌照

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摘要

A new algorithm for automatic identification of vehicle license plate is proposed in this paper. The proposed algorithm uses image segmentation and morphological operation to accurately identify the location of license plate with various background illuminations. The license plate is identified in two steps. At first the original image is segmented using edge detection and morphological operations. Then, the power spectrum (PS) is analyzed in horizontal and vertical directions to identify the license plate. The magnitude of the power frequency spectrum shows special characteristics corresponding to the license plate segment. The proposed algorithm is tested with different gray level car images from different angles of view and the results are all consistent. The proposed algorithm is fast and can effectively identify license plates under various illumination conditions with high accuracy.
机译:本文提出了一种新的自动识别车辆牌照算法。所提出的算法使用图像分割和形态学操作,以准确地识别许可板的位置有各种背景照明。许可证板以两步识别。首先,使用边缘检测和形态操作分段原始图像。然后,在水平和垂直方向上分析功率谱(PS)以识别车牌。功率频谱的大小显示了与牌照段对应的特殊特性。通过不同视角的不同灰度轿厢图像测试所提出的算法,结果一致。该算法快速,可以高精度地有效地识别各种照明条件下的牌照。

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