| 基于Gabor变换和不变矩的掌纹识别研究 |
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| 引用本文： | 刘丹丹,苏日娜,张永平,郏璐璐,蔡金凤. 基于Gabor变换和不变矩的掌纹识别研究[J]. 宁波工程学院学报, 2010, 22(1): 80-83 |
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| 作者姓名： | 刘丹丹 苏日娜 张永平 郏璐璐 蔡金凤 |
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| 作者单位： | 宁波工程学院,浙江,宁波,315016 |
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| 基金项目： | 浙江省新苗人才计划项目(2008R40G2290039) |
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| 摘 要： | 提出了一种将二维Gabor变换和不变矩特征相结合对掌纹图像进行特征提取,并采用多层前向反馈神经网络进行掌纹图像训练识别的方法。该方法首先对掌纹图像进行预处理,获得掌纹感兴趣区域(ROI),然后构造一组Ga-bor滤波器从而得到ROI的特征向量,结合掌纹图像的不变矩特征共同作为神经网络的输入进行训练识别。实验表明该方法的有效性。
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| 关 键 词： | 掌纹识别 Gabor变换 不变矩 |
Palmprint Recognition Based on Gabor Transformation and Invariant Moments |
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| LIU Dan-dan,SU Ri-na,ZHANG Yong-ping,JIA Lu-lu,CAI Jin-feng. Palmprint Recognition Based on Gabor Transformation and Invariant Moments[J]. Journal of Ningbo University of Technology, 2010, 22(1): 80-83 |
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| Authors: | LIU Dan-dan SU Ri-na ZHANG Yong-ping JIA Lu-lu CAI Jin-feng |
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| Affiliation: | Ningbo University of Technology/a>;Ningbo/a>;Zhejiang/a>;315016/a>;China |
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| Abstract: | This paper introduces a method to extract the palmprint features by integrating two-dimensional Gabor transformation and invariant moments and to train the samples to realize recognition by adopting the BP neural network method. This method first pretreats the palmprint sample images to obtain the region of interested partial (ROI),then constructs a group of Gabor filters to get the eigenvector of ROI and calculates the eigenvector of invariant moments and sets up the neural network with the input of Gabor ... |
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| Keywords: | palmprint recognition Gabor transformation moment invariant |
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