| SVM和BP算法在掌纹验证方法中的比较 |
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| 引用本文： | 蒲鑫. SVM和BP算法在掌纹验证方法中的比较[J]. 科技咨询导报, 2011, 0(2): 20-20,22 |
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| 作者姓名： | 蒲鑫 |
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| 作者单位： | 长春理工大学光电信息学院,吉林长春,130012 |
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| 基金项目： | 吉林省教育厅吉教科合字[2009]第574号 |
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| 摘 要： | 本章通过用SVM算法和神经网络算法两种方法对掌纹图像进行分类,验证了基于SVM算法分类的优越性远远大于传统的神经网络算法分类.而且,SVM算法具有良好的抗噪性,而对于神经网络算法,一旦输入向量的维数增加,其收敛性和错误率都会发生较大的偏差.实验结果验证了用SVM算法比用神经网络算法有更大的准确率,尤其在小样本、高维数的分类上.
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| 关 键 词： | 掌纹验证 支持向量机 BP算法 |
Study of Palmprint Authentication based on SVM Compared With BP |
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| Pu Xin. Study of Palmprint Authentication based on SVM Compared With BP[J]. , 2011, 0(2): 20-20,22 |
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| Authors: | Pu Xin |
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| Affiliation: | Pu Xin(Changchun University of Science and Technology College of Optical and Electronical Information,Changchun,130012) |
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| Abstract: | This paper introduces the method of Support Vector Machine contrasting with BP algorithm which is very normal in the field of Neural Network,some useful conclusion can be gained during experiments as following:using SVM will get better effect than using BP when the data have noises.The results show that when limited training samples are used,the obtained correct recognition rate of the testing samples can be very high.Advantages of SVM are much more notable when the training set is small and the data dimens... |
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| Keywords: | Palmprint Authentication Support Vector Machine BP |
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