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Chinese Coin Recognition Based on Unwrapped Image and Rotation Invariant Template Matching

机译:基于未包装图像和旋转不变模板匹配的中国硬币识别

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This paper proposes a Chinese coin recognition method based on unwrapped image and rotation invariant template matching. At first unwrap the reference coin and the specimen coin, which makes a rotation of the coins convert to a translation of the profile. Then lengthened the unwrapped specimen coin image and the unwrapped reference coin image always lies in the unwrapped specimen if they are the same class. Template matching is carried out for every allowed position of the template in the specimen image. Residual coins, which can not be differentiated by template matching directly, are refined by local template matching, YCbCr and inclination detection of two close line segments. The method was implemented to identify the Chinese coins and results were encouraging.
机译:本文提出了一种基于未包装图像和旋转不变模板匹配的中国硬币识别方法。首先,不包装参考硬币和标本硬币,这使得硬币的旋转转换为轮廓的翻译。然后延长未包装的标本硬币图像,如果它们是同一类,则未包装的参考硬币图像始终位于未包装的标本中。对于模板在样本图像中的每个允许位置,执行模板匹配。通过直接通过模板匹配不能分化的残余硬币是通过本地模板匹配,YCBCR和两个关闭线段的倾斜检测来改进的。该方法是实施,以识别中国硬币,结果令人鼓舞。

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