| 基于蚁群算法的硬币识别研究 |
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| 引用本文： | 毕晓君,孙晓霞.基于蚁群算法的硬币识别研究[J].哈尔滨工程大学学报,2006,27(6):882-885. |
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| 作者姓名： | 毕晓君 孙晓霞 |
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| 作者单位： | 哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001 |
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| 摘 要： | 蚁群算法具有离散性、并行性、正反馈性和鲁棒性,是目前较为先进的优化算法.利用蚁群算法的聚类能力,提出一种硬币识别新方法.根据硬币图像的特点,确定了6个有效的图像纹理特征函数,通过对硬币图像的特征函数值进行蚁群聚类,可有效实现各类硬币图像的识别.实验结果表明,该算法用于硬币识别可达到100%的识别率,并且识别时间较短,是一种有效的硬币识别方法.
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| 关 键 词： | 蚁群算法 聚类 特征提取 硬币识别 |
| 文章编号： | 1006-7043(2006)06-0882-04 |
| 修稿时间： | 2005年9月6日 |
Coin recognizing method based on ant colony algorithm |
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| BI Xiao-jun,SUN Xiao-xia.Coin recognizing method based on ant colony algorithm[J].Journal of Harbin Engineering University,2006,27(6):882-885. |
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| Authors: | BI Xiao-jun SUN Xiao-xia |
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| Abstract: | Ant colony algorithm,with good discretion,parallel,robustness and positive feedback,is an advanced optimization algorithm.A new coin identification method based on ant colony algorithm with clustering characteristics is proposed in this paper.Six preferably effective feature functions are confirmed according to the characteristics of a coin image.The identification of various coin images is achieved by ant clustering of the feature function values.Experimental results indicate its high identification rate and rapid identification time. |
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| Keywords: | ant colony algorithm clustering feature extraction coin recognition |
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