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·1532 北京科技大学学报 第35卷 参考文献 别方法.模式识别与人工智能,2006,19(5):685) [7]Chang K Y,Bowyer K W,Sarkar S,et al.Comparison [1]Middendorff,C,Bowyer K W,Yan P.Multi-modal bio- and combination of ear and face images in appearance- metrics involving the human ear//IEEE Conference on based biometrics.IEEE Trans Pattern Anal Mach IntelL. Computer Vision and Pattern Recognition.Minneapolis, 2003,25(9):1160 2007:1 [8]Yuan L.Study on Some Key Issues of Ear Recognition [2]Zhang F,Feng D G,Sun Z N.An iris authentication Dissertation].Beijing:University of Science and Tech- scheme based on fuzzy extractor.J Comput Res Dev, nology Beijing,2006 2008,45(6:1036 (袁立.人耳识别中若干关键问题的研究[学位论文.北京: (张凡,冯登国。孙哲南。一种基于模糊提取的虹膜鉴别方 北京科技大学,2006) 案.计算机研究与发展,2008,45(6):1036) [9]Lu H M,Fainman Y,Hecht-Nielsen R.Image manifolds [3]Hu J,Tian J,Chen X J,et al.A synthetic fingerprint generation method and its implementation.J Software, /Proceedings of SPIE.San Jose,1998:52 [10]Cho M,Park H.Nonlinear dimension reduction using 2007,18(3):517 (胡瑾,田捷,陈新建,等.一种指纹合成的方法及其实现 ISOMap based on class information//Proceedings of In- ternational Joint Conference on Neural Networks.At- 软件学报,2007,18(3):517) lanta,2009:566 [4 Zhao H L,Mu Z C.Human ear recognition based on wavelet transform,LDA/FKT and SVM.Chin J Sci In- [11]Ojala T,Pietikainen M,Harwood D.A comparative study strum,2007,30(11:2273 of texture measures with classification based on featured (赵海龙,穆志纯.基于小波变换和LDA/FKT及SVM的 distributions.Pattern Recognit,1996.29(1):51 人耳识别.仪器仪表学报,2007,30(11):2273) [12]Huang Y G,Wang Y H,Tan T N.Combining statistics of [5]Tian Y,Yuan WQ.Ear feature extraction and recognition geometrical and correlative features for 3D face recogni- based on force field transformation.Chin J Sci Instrum tion /British Machine Vision Conference.Edinburgh. 2009,30(2:318 2006:879 (田莹,苑玮琦。基于力场转换的人耳特征提取与识别.仪 13 Yazdanpanah A P,Faez K,Amirfattzhi R.Multimodal 器仪表学报,2009,30(2):318) biometric system using face,ear and gait //10th Inter- (6 Zhang H J,Mu Z C,Liu K.Ear recognition method based national Conference on Information Science,Signal Pro- on independent component analysis.Pattern Recognit Ar. cessing and Their Applications.Kuala Lumpur,2010:251 tif Intell,,2006,19(5):685 14 Darwish AA,Elghafar R A,Ali A F.Multimodal face (张海军,穆志纯,刘克.基于独立分量分析的人耳图像识 and ear images.J Comput Sci,2009,5(5):374· 1532 ·  ® ‰ E Œ Æ Æ  1 35 ò ë  © z [1] Middendorff, C, Bowyer K W, Yan P. Multi-modal bio￾metrics involving the human ear // IEEE Conference on Computer Vision and Pattern Recognition. Minneapolis, 2007: 1 [2] Zhang F, Feng D G, Sun Z N. An iris authentication scheme based on fuzzy extractor. J Comput Res Dev, 2008, 45(6): 1036 (܅, ¾I, šóH. «Äu JO Y. OŽÅïĆu, 2008, 45(6):1036) [3] Hu J, Tian J, Chen X J, et al. A synthetic fingerprint generation method and its implementation. J Software, 2007, 18(3): 517 (Û, X$, #ï, . ««Ü¤{9Ù¢y. ^‡Æ, 2007, 18(3): 517) [4] Zhao H L, Mu Z C. Human ear recognition based on wavelet transform, LDA/FKT and SVM. Chin J Sci In￾strum, 2007, 30(11): 2273 (ë°9, ;X. ÄuÅC†Ú LDA/FKT 9 SVM  <£O. ¤ì¤LÆ, 2007, 30(11): 2273) [5] Tian Y, Yuan W Q. Ear feature extraction and recognition based on force field transformation. Chin J Sci Instrum, 2009, 30(2): 318 (XC, Ul. Äuå|=†<AÆJ†£O. ¤ ì¤LÆ, 2009, 30(2): 318) [6] Zhang H J, Mu Z C, Liu K. Ear recognition method based on independent component analysis. Pattern Recognit Ar￾tif Intell, 2006, 19(5): 685 (Ü°, ;X§4Ž. ÄuÕá©þ©Û<㣠O{. ª£O†<óœU, 2006, 19(5): 685) [7] Chang K Y, Bowyer K W, Sarkar S, et al. Comparison and combination of ear and face images in appearance￾based biometrics. IEEE Trans Pattern Anal Mach Intell, 2003, 25(9): 1160 [8] Yuan L. Study on Some Key Issues of Ear Recognition [Dissertation]. Beijing: University of Science and Tech￾nology Beijing, 2006 (á. <£O¥eZ'…¯KïÄ [Æ Ø©]. ®: ®‰EŒÆ, 2006) [9] Lu H M, Fainman Y, Hecht-Nielsen R. Image manifolds // Proceedings of SPIE. San Jose, 1998: 52 [10] Cho M, Park H. Nonlinear dimension reduction using ISOMap based on class information // Proceedings of In￾ternational Joint Conference on Neural Networks. At￾lanta, 2009: 566 [11] Ojala T, Pietikainen M, Harwood D. A comparative study of texture measures with classification based on featured distributions. Pattern Recognit, 1996, 29(1): 51 [12] Huang Y G, Wang Y H, Tan T N. Combining statistics of geometrical and correlative features for 3D face recogni￾tion // British Machine Vision Conference. Edinburgh, 2006: 879 [13] Yazdanpanah A P, Faez K, Amirfattzhi R. Multimodal biometric system using face, ear and gait // 10th Inter￾national Conference on Information Science, Signal Pro￾cessing and Their Applications. Kuala Lumpur, 2010: 251 [14] Darwish A A, Elghafar R A, Ali A F. Multimodal face and ear images. J Comput Sci, 2009, 5(5): 374
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