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基于手指轮廓的手形验证算法 被引量:3

Hand Shape Confirmation Arithmetic Based on Finger Contour
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摘要 针对手形特点和现有的手形认证方法的不足,提出了一种新颖的基于有序手形轮廓点匹配的手形验证方法。摆脱了固定栓的束缚,运算量小。系统首先对预处理后的手形图像进行边界跟踪后提取手指的关键特征点分离手指,运用对有序边缘点进行运算的手指归一化算法进行图像标准化,最后,运用新型点匹配算法进行自动鉴别。通过小样本实验检测,该方法在鲁棒性、准确率、和运算量方面具有良好的综合性能。 According to the hand shape characteristics and the insufficient of the existing hand shape attestation methods, this paper proposes a new confirmation method which is based on the ordered hand shape contour to match by the points. Getting rid of the fetter of fixed hitch, and having small operands. In this method, the system lines out the fingers' characteristic points to separation the figures after carrying on boundary track of the pretreatment picture ,then it uses figure normalization algorithm to the ordered boundary points. At last, the system can carry on the automatic distinction using the new points matching method. Through the small sample experiment, we can see this method has a good overall performance in robustness, accuracy and operand.
作者 闫琳 史彦龙
机构地区 宁波大学理学院
出处 《计算机安全》 2009年第1期73-76,共4页 Network & Computer Security
基金 浙江省新苗人才计划项目(2007G60G2070040)资助
关键词 生物特征识别技术 轮廓跟踪 分离手指 点匹配 biometrics outline track finger separation points matching
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  • 1陈晓钟,孙华燕.光照归一化的特征点提取[J].装备指挥技术学院学报,2000,11(2):72-76. 被引量:1
  • 2刘宏,李锦涛,苗军.多方法融合来解决人脸检测中的光照补偿[J].系统仿真学报,2001,13(S2):486-489. 被引量:14
  • 3顾理,庄镇泉,万淑超,蔡伟.一种基于模板匹配的手形认证算法[J].计算机工程与应用,2005,41(6):85-88. 被引量:8
  • 4V Govindaraju, D B Sher, R Srihari, S N Srihari. Locating Human Faces in Newspaper Photographs [C]. Proc CVPP89, 1989.549-554.
  • 5S Edelman, D Reisfeld, Y Yeshurun. A System for Face Recognition that Learns from Examples [C]. Proc, European Conf Computer Vision,Sandini S, ed. Springer-Verlag, 1992. 787-791.
  • 6D Reisfeld, Y Yeshurun. Robust Detection of Facial Features by Generalized Symmetry[M]. ICPR A, 1992. 117-120.
  • 7Y Moses, S Ullman. Limitation of Non-Model-Based Recognition Schemes [C]. Proc ECCV-92, Sandini G, ed. Springer-Verlag,1992. 820-828.
  • 8杨枝灵.Visual C++数字图象获取、处理及实践应用[M].人民邮电出版社ISBN 7-115-10957-5,.481-488.
  • 9E Robert. A Brief Introduction to Boosting[C]. Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, 1999.
  • 10孙冬梅.基于手形的生物特征认证技术[R]:北京第三届中国生物识别学术会议学术报告[R].,2002/08/25..

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  • 1Poly U Palmprint Database[Z].(2003-03-02).http://www4. eomppolyu, edu. hk/- biometrics/.
  • 2Wang Zhou, BOVIK A C, SHEIKH H R, et al. Image quality assessment: from error visibility to structural simila- rity[J].IEEE Trans on Image Processing, 2004,13(4):600- 612.
  • 3Wang Zhou, BOVIK A C, Lu Ligang. Why is image quality assessment so difficult[C]. Proc of IEEE International Conference of acoustics, Speech, and Signal Processing, 2002:3313-3316.
  • 4高赞,姜威,朱孔凤.基于最大梯度和阈值的自动聚焦算法[J].电子测量与仪器学报,2007,21(5):49-54. 被引量:11
  • 5Hu RX, Ji[J]a W, Zhang D. Hand shape recognition based on coherrnt distance shape contexts. Pattern Recognition, 2012, 45(9): 3348-3359.
  • 6Karnan M, Akila M, Krishnaraj N. Biometric personal authentication using keystroke dynamics: A review. Applied Soft Computing, 2011, 11(2): 1565-1573.
  • 7Hu RX, Jia W, Zhang D, et al. Hand shape recognition based on coherent distance shape contexts. Pattern Recognition, 2012, 45(9): 3348-3359.
  • 8Deng LY, Hung JC, Keh HC, et al. Real-time hand gesture recognition by shape context based matching and cost matrix. Journal of Networks, 2011, 6(5): 697-704.
  • 9Xiong W, Toh KA, Yau WY, et al. Model-guided deformable hand shape recognition without positioning aids. Pattern Recognition, 2005, 38(10): 1651-1664.
  • 10蒋婷,谭跃刚,刘泉.基于SOBEL算子的图像清晰度评价函数研究[J].计算机与数字工程,2008,36(8):129-131. 被引量:39

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