Vehicle Logo Recognition Using Tree-Based Convolution Neural Network
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    Abstract:

    In order to improve the recognition rate of vehicle in natural situations, this paper proposes a vehicle logo recognition modal based on a multi-path tree structure convolutional neural networks, which modal with different convolution kernel in the same convolutions, namely T-CNN. Firstly, different layer convolution features are obtained and are joined together as the input of the fully connected layer to get classifiers. Compared with the traditional method, the theoretical analysis and simulation results show that T-CNN can increase the recognition accuracy up to 98.43%.

    Reference
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吴章辉,李志清,杨晓玲,刘雨桐.树状卷积神经网络的车标识别应用.计算机系统应用,2017,26(10):166-171

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  • Received:January 12,2017
  • Online: October 31,2017
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