吉林大学学报(工学版) ›› 2012, Vol. 42 ›› Issue (增刊1): 350-355.
翟懿奎, 甘俊英, 徐颖, 曾军英
ZHAI Yi-kui, GAN Jun-ying, XU Ying, ZENG Jun-ying
摘要: 研究了基于平滑l0范数的稀疏表示模型的指背关节纹识别方法。首先,对训练样本进行超完备字典的构建,然后采用局部二元模式进行特征提取与降维,平滑l0范数对其进行求解,加速识别过程,提高识别效率及性能。最后,探讨了该稀疏模型的并行实现模型,并给出了相关实验结果。在香港理工大学指背关节数据库(FKP Database)上的实验表明,所提方法具有较高的识别率,具有良好的实际应用价值。
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[1] Jain A K,Li S Z.Encyclopedia of Biometrics [M].Springer,2009.[2] Woodard D L,Flynn P J.Personal identification utilizing finger surface features [C]//Proceedings of CVPR,2005:1030-1036.[3] Kumar A,Ravikanth C.Biometric authentication using finger-back surface [C]//Proceedings of CVPR,2007:1-6.[4] Zhang Lin,Zhang Lei,Zhang David,et al.Online finger-knuckle-print verification for personal authentication [J].Pattern Recognition,2010,43 (7): 2560-2571.[5] Zhang Lin,Zhang Lei,Zhang David,et al.Ensemble of local and global information for finger-knuckle-print recognition [J].Pattern Recognition,2011,44(9): 1990-1998.[6] Zhang Lin,Zhang Lei,Zhang David,et al.Phase congruency induced local features for finger-knuckle-print recognition [J].Pattern Recognition,2012,45(7): 2522-2531.[7] Morales A,Travieso C M,Ferrer M A,et al.Improved finger knuckle print authentication based on orientation enhancement[J].Electronics Letters,2011,47(6): 380-381.[8] Donoho D.Compressed sensing[J].IEEE Trans actions on Information Theory,2006,52(4): 1289- 1306.[9] Candes E J.Compressive sampling [C]// Proceedings of International Congress of Mathematicians,Zurich,Switzerland: European Mathematical Society Publishing House,2006,1433-1452.[10] Rauhut H,Schnass K V P.Compressed sensing and redundant dictionaries [J].IEEE Transactions on Information Theory,2008,54(5): 2210-2219.[11] 蔡泽民,赖剑煌.一种基于超完备字典学习的图像去噪方法[J].电子学报,2009,37(2): 347-350. Cai Ze-min,Lai Jian-huang.An overcomplete learned dictionary based image denoising method[J].Acta Electronica Sinica,2009,37(2): 347-350.[12] 焦李成,谭山.图像的多尺度几何分析: 回顾和展望[J].电子学报,2003,31(12): 1975-1981. Jiao Li-cheng,Tan Shan.Development and prospect of image multiscale geometric analysis[J].Acta Electronica Sinica,2003,31(12): 1975-1981.[13] Wright John,Yang Allen Y,Ganesh Arvind,et al.Robust face recognition via sparse representation [J].IEEE Transactions on PAMI,2009,31(2):210-227.[14] Angshul Majumdar,Rabab K Ward.Improved group sparse classifier [J].Pattern Recognition Letters,2010,31(13): 1959-1964.[15] Lee Han-sung,Chung Yun-su,Kim Jeong-nyeo,et al.Face image retrieval using sparse representation classifier with Gabor-LBP histogram [J].LNCS,2011: 273-280.[16] Ojala T,Matti P,Topi M. Multiresolution gray scale and rotation invariant texture classification with local binary patterns [J].IEEE Transactions on Pattern Analysis And Machine Intelligence,2002,24: 971-987.[17] Mashud Hyder Md,Mahata Kaushik.An improved smoothed l0 approximation algorithm for sparse representation[J].IEEE Trans on Signal Process,2010,58(4): 2194-2205.[18] Mohimani H,Babaie-Zadeh M,Jutten C.A fast approach for overcomplete sparse decomposition based on smoothed l0 norm [J].IEEE Trans on Signal Processing,2009,57(1): 289-301.[19] Candés E J,Romberg J.l1-Magic: recovery of sparse signals via convex programming..Available: http:[C]//www.acm.caltech.edu/l1magic/down -loads/l1magic.pdf,2005.[20] Candès E J,Tao T,The dantzig selector: statistical estimation when p is much larger than n [J].Ann Stat,2007,35: 2313-2351. |
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