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

机译:基于展开图像和旋转不变模板匹配的中文硬币识别

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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:提出了一种基于解包图像和旋转不变模板匹配的中文硬币识别方法。首先,打开参考硬币和标本硬币的包装,使硬币的旋转转换为轮廓的平移。然后加长未包装的样本硬币图像,如果未包装的参考硬币图像属于同一类,则它们始终位于未包装的样本中。对样本图像中模板的每个允许位置执行模板匹配。无法通过模板匹配直接区分的残差硬币可通过局部模板匹配,YCbCr和两个闭合线段的倾斜检测进行精炼。该方法用于识别中国钱币,结果令人鼓舞。

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