计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (22): 238-240.
• 工程与应用 • 上一篇 下一篇
周新虹，彭玉华，薛玉利，杨 明
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ZHOU Xin-hong，PENG Yu-hua，XUE Yu-li，YANG Ming
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摘要： 提出了一种新颖的掌纹识别方案。应用两维的两通道和三通道小波变换来得到低频子带图像，然后将其系数作为特征进行提取。再选择支持向量机（Support Vector Machine，SVM）作为分类器。实验结果证明了这是一个简单而有效的识别方案，正确识别率可达100％。
关键词: 掌纹, 小波, 支持向量机
Abstract: A novel scheme of palmprint identification is proposed.Apply 2-dimensional 2-band（Discrete Wavelet Transform）and 3-band wavelet decomposition to get the low subband images，and then use them as identification feature vectors.Choose support vector machines as classifier.The experimental results demonstrate that it is a simple and accurate identification strategy and the correct recognition rate is high up to 100%.
Key words: palmprint, wavelet, Support Vector Machine（SVM）
周新虹，彭玉华，薛玉利，杨 明. 应用小波变换和支持向量机的掌纹识别[J]. 计算机工程与应用, 2007, 43(22): 238-240.
ZHOU Xin-hong，PENG Yu-hua，XUE Yu-li，YANG Ming. Palmprint recognition based on wavelet transform and support vector machine[J]. Computer Engineering and Applications, 2007, 43(22): 238-240.
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