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A license plate detection algorithm based on deformable part model

机译:基于变形零件模型的车牌检测算法

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摘要

This paper proposes an algorithm for license plate detection based on deformable part model, as it is difficult to obtain a high accuracy in detecting license plates in images with complex background and loose perspective. We have researched the state-of-the-art object detection method making use of the deformable part model, combined its training method with semi-supervised learning SVM, and introduced the method to the problem of license plate detection. The result shows the validity of the proposed method. ? 2013 Binary Information Press.
机译:提出了一种基于可变形零件模型的车牌检测算法,因为在背景复杂,视角松散的图像中很难获得高精度的车牌检测算法。我们研究了利用可变形零件模型的最新对象检测方法,并将其训练方法与半监督学习SVM相结合,并将该方法引入了车牌检测问题。结果表明了该方法的有效性。 ? 2013二进制信息出版社。

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