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首页> 外文会议>2013 International Conference on Circuits, Power and Computing Technologies >Performance analysis on road sign detection, extraction and recognition techniques
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Performance analysis on road sign detection, extraction and recognition techniques

机译：道路标志检测，提取和识别技术的性能分析

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Automatic detection and recognition of road traffic signs is an important work for regulating the traffic and guiding and warning drivers and pedestrians. The main aim of this work is to compare the performance of the road sign detection, extraction and recognition techniques and find the best one. This project investigates two techniques. In the first approach, Color Classification is used for detecting the road sign. After extraction, Wavelet based classification is used for recognize the road sign. In the second approach, Color Segmentation and Shape Classification is used for detect the road sign. After detecting the road sign Local energy based shape histogram (LESH) is used for recognize the road sign. To evaluate the performance of the above two approaches Recognition Rate (RR) metric is used. From the evaluation, we conclude that the performance of LESH method provides better performance from the overall results.
机译：自动检测和识别道路交通标志是调节交通，引导和警告驾驶员和行人的重要工作。这项工作的主要目的是比较路标检测，提取和识别技术的性能，并找到最佳的方法。该项目研究了两种技术。在第一种方法中，颜色分类用于检测路标。提取后，基于小波的分类用于识别路标。在第二种方法中，使用颜色分割和形状分类来检测路标。检测到路标后，将使用基于局部能量的形状直方图（LESH）来识别路标。为了评估上述两种方法的性能，使用了识别率（RR）度量。通过评估，我们得出结论，从总体结果来看，LESH方法的性能提供了更好的性能。

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