基于局部纹理特征的美元面额识别算法

Xinge You, Qingjiang Hu, Duanquan Xu, Xian-cheng Fu, Qixin Sun
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引用次数: 0

摘要

提出了一种基于局部纹理特征的美元面额识别算法。本文提出了一种局部纹理特征的美元面额识别算法,该算法首先利用聚类间方差法对美元的局部图像进行二值化,增强差异的效果,然后通过交叉算法提取局部纹理特征,使识别工作正常进行。仿真结果表明,该方法速度快,精度高,适合于实时人脸识别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dollar bill denomination recognition algorithm based on local texture feature
In this paper, a dollar bill denomination recognition algorithm based on local texture feature is proposed. this paper proposes a local texture feature dollar denomination recognition algorithm, this algorithm first use the between-cluster variance method about the dollar's local image binarization to enhance the effect of differences, and then through the cross algorithm to extract the local texture feature, which makes the recognition work correctly. The simulation results show that the method is fast, high precision, suitable for real-time face recognition.
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