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基于屋脊滤波的指横纹认证
发表时间：2010-11-30 浏览量：1943 下载量：850
| 全部作者： | 张延强，孙冬梅，裘正定 |
| 作者单位： | 北京交通大学信息科学研究所 |
| 摘 要： | 提出基于屋脊边缘滤波的指横纹定位与提取算法，采用基于归一化互相关方法对特征点进行匹配。在98人、1 971幅图像的测试数据上表明指横纹作为生物特征的普遍性和有效性。单模最优系统为无名指指横纹，等错误率（equal error rate, EER）为0.877 8%；最差系统为小拇指指横纹，EER为2.040 3%. 采用fisher判别法融合4类指横纹，系统EER为0.207 8%，达到了较高的安全级别。 |
| 关 键 词： | 信号与信息处理；指横纹；屋脊滤波；互相关点匹配；决策级融合 |
| Title： | Inner knuckleprint verification based on roof edge detector |
| Author： | ZHANG Yanqiang, SUN Dongmei, QIU Zhengding |
| Organization： | Institute of Information Science, Beijing Jiaotong University |
| Abstract： | A novel biometrics defined as ‘inner knuckleprint’ is presented in this paper. Roof edge detector is used for locating and extracting the inner knuckleprint. Normalized cross-correlation based feature matching and decision fusion scheme are integrated to implement a real-time verification system. The system is evaluated based on the database contains 1 971 image samples from 98 individuals. For single model, the equal error rate (EER) is 2.040 3% to the worst system, while 0.877 8% to the best one, which indicates that the inner knuckleprints are reliable and universal as a biometrics, and demonstrates the effectiveness of the proposed method. |
| Key words： | signal and information processing; inner knuckleprint; roof edge detector; normalized cross-correlation matching; decision level fusion |
| 发表期数： | 2010年11月第22期 |
| 引用格式： | 张延强，孙冬梅，裘正定. 基于屋脊滤波的指横纹认证[J]. 中国科技论文在线精品论文，2010，3（22）：2266-2273. |
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