| 多分辨率滤波在手背血管特征提取中的应用 | |
| 周斌 ; 林喜荣 ; 贾惠波 ; Zhou Bin ; Lin Xirong ; Jia Huibo | |
| 2010-06-08 ; 2010-06-08 | |
| 关键词 | 生物特征 手背血管 分水岭算法 多分辨率滤波 biometrics vein pattern watershed multiresolutional filter TP391.41 |
| 其他题名 | Application of Multiresolutional Filter On Feature Extraction of Palm-Dorsa Vein Patterns |
| 中文摘要 | 人体手背血管识别是一门新兴的生物特征识别技术,提出了这种生物特征提取的一种算法.它利用分水岭算法提取出带有纹理特征信息的特征点FPVP(feature points of vein pattern);针对FPVP的不同的特征信息采用二阶矩和统计的方法进行多分辨率滤波得到DP(dominant points),每个DP都是多维的向量,用所有‖DP‖组成手背血管的特征向量;最后使用相关算法针对来自53个手背血管的265个样本进行了特征相关匹配实验,其最小错误率仅为4.31%.; Recognition of palm-dorsa vein patterns is a new biometric identification technology.The paper presents a new algorithm for extracting such patterns.In the algorithm watershed transformation is firstly used to extract Feature Points of Vein Pattern(FPVP) from the image of palm-dorsa vein pattern.Feature Points of Vein Pattern are then upgraded into Dominant Points with moment filter and count filter for different feature information of FPVP.Every Dominant Point is a multidimensional vector of and the 2-norms of all DPs in an image constitute the feature vector of the vein pattern.In the end the feasibility of extracting feature of palm-dorsa vein pattern is evaluated by performing the matching test of samples with a correlation method.The dataset is of 265 samples from 53 vein patterns,and the minimum verification error rate is about 4.31%. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/48582]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 周斌,林喜荣,贾惠波,等. 多分辨率滤波在手背血管特征提取中的应用[J],2010, 2010. |
| APA | 周斌,林喜荣,贾惠波,Zhou Bin,Lin Xirong,&Jia Huibo.(2010).多分辨率滤波在手背血管特征提取中的应用.. |
| MLA | 周斌,et al."多分辨率滤波在手背血管特征提取中的应用".(2010). |
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