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·540· 智能系统学报 第14卷 [l4]贾旭,薛定字,崔建江,等.基于Contourlet子带能量特 ectional two-dimensional PCA for efficient face repres- 征多HMM融合的静脉识别,电子与信息学报,2011, entation and recognition[J].Neurocomputing,2005, 33(8:1877-1882 69(1/2/3):224-231. JIA Xu,XUE Dingyu,CUI Jianjiang,et al.Vein recogni- [22]OJALA T,PIETIKAINEN M.MAENPAA T.Multiresol- tion based on fusing multi HMMs with contourlet sub- ution gray-scale and rotation invariant texture classifica- band energy observations[J].Journal of electronics and tion with local binary patterns[J].IEEE transactions on information technology,2011,33(8):1877-1882. pattern analysis and machine intelligence,2002,24(7): [15]WANG Jiangang,YAU W Y,SUWANDY A,et al.Per- 971-987. son recognition by fusing palmprint and palm vein im- [23]YANG Jian,ZHANG D,FRANGI A F,et al.Two-dimen- ages based on"Laplacianpalm"representation[J].Pattern sional PCA:a new approach to appearance-based face recognition,.2008,41(5)1514-1527. representation and recognition[J].IEEE transactions on [16]YAN Xuekui,KANG Wenxiong,DENG Feiqi,et al. pattern analysis and machine intelligence,2004,26(1): Palm vein recognition based on multi-sampling and fea- 131-137. ture-level fusion[J].Neurocomputing,2015,151(2): 798-807. 作者简介: [17]QIN Huafeng.HE Xiping,YAO Xingyan,et al.Finger- 胡娜,女,1991年生,硕土研究 生,主要研究方向为模式识别、生物特 vein verification based on the curvature in Radon space[J].Expert systems with applications,2017,82: 征识别。 151-161. [18]LI Peigin,XIE Jianbin,LIU Tong,et al.Finger vein re- cognition algorithm based on optimized GHT[J].Optik- international journal for light and electron optics,2014, 125(6):1780-1783 马慧,女,1982年生,副教授,博 士,主要研究方向为模式识别、生物特 [19]万源,李欢欢,吴克风,等.LBP和HOG的分层特征融 征识别。授权发明专利10余项。发 合的人脸识别).计算机辅助设计与图形学学报,2015, 表学术论文20余篇。 27(4):640-650. WAN Yuan,LI Huanhuan,WU Kefeng,et al.Fusion with Layered features of LBP and HOG for Face Recognition[J]. Journal of computer-aided design and computer graphics, 2015,27(4):640-650. 湛涛,男,1992年生,硕土研究 生,主要研究方向为模式识别、生物特 [20]ZHAO Guoying,AHONEN T,MATAS J,et al.Rotation- 征识别。 invariant image and video description with local binary pattern features[J].IEEE transactions on image pro- cessing,2012.21(4):1465-1477. [21]ZHANG Daogiang,ZHOU Zhihua.(2D)PCA:two-dir-贾旭, 薛定宇, 崔建江, 等. 基于 Contourlet 子带能量特 征多 HMM 融合的静脉识别[J]. 电子与信息学报, 2011, 33(8): 1877–1882. JIA Xu, XUE Dingyu, CUI Jianjiang, et al. Vein recogni￾tion based on fusing multi HMMs with contourlet sub￾band energy observations[J]. Journal of electronics and information technology, 2011, 33(8): 1877–1882. [14] WANG Jiangang, YAU W Y, SUWANDY A, et al. Per￾son recognition by fusing palmprint and palm vein im￾ages based on “Laplacianpalm” representation[J]. Pattern recognition, 2008, 41(5): 1514–1527. [15] YAN Xuekui, KANG Wenxiong, DENG Feiqi, et al. Palm vein recognition based on multi-sampling and fea￾ture-level fusion[J]. Neurocomputing, 2015, 151(2): 798–807. [16] QIN Huafeng, HE Xiping, YAO Xingyan, et al. Finger￾vein verification based on the curvature in Radon space[J]. Expert systems with applications, 2017, 82: 151–161. [17] LI Peiqin, XIE Jianbin, LIU Tong, et al. Finger vein re￾cognition algorithm based on optimized GHT[J]. Optik￾international journal for light and electron optics, 2014, 125(6): 1780–1783. [18] 万源, 李欢欢, 吴克风, 等. LBP 和 HOG 的分层特征融 合的人脸识别[J]. 计算机辅助设计与图形学学报, 2015, 27(4): 640–650. WAN Yuan, LI Huanhuan, WU Kefeng, et al. Fusion with Layered features of LBP and HOG for Face Recognition[J]. Journal of computer-aided design and computer graphics, 2015, 27(4): 640–650. [19] ZHAO Guoying, AHONEN T, MATAS J, et al. Rotation￾invariant image and video description with local binary pattern features[J]. IEEE transactions on image pro￾cessing, 2012, 21(4): 1465–1477. [20] ZHANG Daoqiang, ZHOU Zhihua. (2D)2 [21] PCA: two-dir￾ectional two-dimensional PCA for efficient face repres￾entation and recognition[J]. Neurocomputing, 2005, 69(1/2/3): 224–231. OJALA T, PIETIKÄINEN M, MÄENPÄÄ T. Multiresol￾ution gray-scale and rotation invariant texture classifica￾tion with local binary patterns[J]. IEEE transactions on pattern analysis and machine intelligence, 2002, 24(7): 971–987. [22] YANG Jian, ZHANG D, FRANGI A F, et al. Two-dimen￾sional PCA: a new approach to appearance-based face representation and recognition[J]. IEEE transactions on pattern analysis and machine intelligence, 2004, 26(1): 131–137. [23] 作者简介: 胡娜,女,1991 年生,硕士研究 生,主要研究方向为模式识别、生物特 征识别。 马慧,女,1982 年生,副教授,博 士,主要研究方向为模式识别、生物特 征识别。授权发明专利 10 余项。发 表学术论文 20 余篇。 湛涛,男,1992 年生,硕士研究 生,主要研究方向为模式识别、生物特 征识别。 ·540· 智 能 系 统 学 报 第 14 卷
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