[1] 李海青,孙哲南,谭铁牛,等.虹膜识别技术进展与趋势[J].信息安全研究,2016,2(1):40-43.
LI H Q,SUN Z N,TAN T N,et al.Progress and trends in iris recognition[J].Information Security Research,2016,2(1):40-43.
[2] 周锐烨,沈文忠.PI-Unet:异质虹膜精确分割神经网络模型的研究[J].计算机工程与应用,2021,57(15):223-229.
ZHOU R Y,SHEN W Z.PI-Unet:Research on precise iris segmentation neural network model for heterogeneous iris[J].Computer Engineering and Applications,2021,57(15):223-229.
[3] 刘京.异质虹膜图像的鲁棒识别[D].合肥:中国科学技术大学,2014.
LIU J.Robust recognition of heterogeneous iris images[D].Hefei:University of Science and Technology of China,2014.
[4] 彭超,徐波.VR眼镜的感观控制方法及VR:CN107516033A[P].2017-12-26.
PENG C,XU B.Perception control method of VR glasses and VR:CN107516033A[P].2017-12-26.
[5] The Hong Kong Polytechnic University cross-spectral iris images database[DB/OL].[2021-05-15].http://www4.comp.polyu.edu.hk/~csajaykr/polyuiris.htm.
[6] ZUO J,NICOLO F,SCHMID N A.Cross spectral iris matching based on predictive image mapping[C]//Proceedings of the 4th IEEE International Conference on Biometrics:Theory,Applications and Systems(BTAS),2010:1-5.
[7] OKTIANA M,MUNADI K,ARNIA F,et al.Features for cross spectral image matching:A survey[J].Bulletin of Electrical Engineering and Informatics,2018,7(4).
[8] OKTIANA M,SADDAMI K,ARNIA F,et al.Advancesin cross-spectral iris recognition using integrated gradientface-based normalization[J].IEEE Access,2019,7:130484-130494.
[9] NALLA P R,KUMAR A.Toward more accurate iris recognition using cross-spectral matching[J].IEEE Transactions on Image Processing,2017,26(1):208-221.
[10] WANG K,KUMAR A.Cross-spectral iris recognition using CNN and supervised discrete hashing[J].Pattern Recognition,2019,86:85-98.
[11] WANG K,KUMAR A.Toward more accurate iris recognition using dilated residual features[J].IEEE Transactions on Information Forensics and Security,2019,14(12):3233-3245.
[12] MOSTOFA M,TAHERKHANI F,Dawson J,et al.Cross-spectral iris matching using conditional coupled GAN[J].arXiv:2010.11689,2020.
[13] ZANLORENSI L A,LUCIO D R,BRITTO A,et al.Deep representations for cross-spectral ocular biometrics[J].IET Biometrics,2019,9(2):68-77.
[14] WOO S,PARK J,LEE J Y,et al.CBAM:Convolutional block attention module[C]//Proceedings of the European Conference on Computer Vision(ECCV),2018:3-19.
[15] GUO M H,LIU Z N,MU T J,et al.Beyond self-attention:External attention using two linear layers for visual tasks[J].arXiv:2105.02358,2021.
[16] DENG J K,GUO J,XUE N N,et al.ArcFace:Additive angular margin loss for deep face recognition[C]//Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR),2019:4685-4694.
[17] WANG H,WANG Y,ZHOU Z,et al.CosFace:Large margin cosine loss for deep face recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018:5265-5274.
[18] ZAGORUYKO S,KOMODAKIS N.Learning to compare image patches via convolutional neural networks[C]//Proceedings of 2015 IEE Conference on Computer Vision and Pattern Recognition,2015:4353-4361.
[19] HE K,ZHANG X,REN S,et al.Deep residual learning for image recognition[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2016:770-778.
[20] YE M,SHEN J,LIN G,et al.Deep learning for person re-identification:A survey and outlook[J].arXiv:2001. 04193,2020.
[21] FILIP R,GIORGOS T,ONDREJ C.Fine-tuning CNN image retrieval with no human annotation[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2017,41:1655-1668.
[22] ZHANG H,GOODFELLOW I,METAXAS D,et al.Self-attention generative adversarial networks[J].arXiv:1805. 08318,2018.
[23] HERMANS A,BEYER L,LEIBE B.In defense of the triplet loss for person re-identification[J].arXiv:1703. 07737,2017.
[24] 袁亚湘,孙文瑜.最优化理论与方法[M]北京:科学出版社,2001.
YUAN Y X,SUN W Y.Optimization theory and methods[M].Beijing:Science Press,2001.
[25] WILD P,RADU P,FERRYMAN J.On fusion for multispectral iris recognition[C]//Proceedings of International Conference on Biometrics(ICB),2015:31-37.
[26] DAUGMAN J.How iris recognition works[J].IEEE Transactions on Circuits & Systems for Video Technology,2004,14(1):21-30.
[27] JI T L,SUNDARESHAN M K,ROEHRIG H.Adaptive image contrast enhancement based on human visual properties[J].IEEE Transaction on Med imaging,1994,13(4):573-586.
[28] LOSHCHILOV I,HUTTER F.SGDR:Stochastic gradient descent?with warm restarts[J].arXiv:1608.03983,2016.
[29] 陈彬.特殊场景下图像分类算法研究[D].北京:北京邮电大学,2020.
CHEN B.Reserch on image classification algorithm under special scenarios[D].Beijing:Beijing University of Posts and Telecommunications,2020.
[30] DAUGMAN J.The importance of being random:statistical principles of iris recognition[J].Pattern Recognition,2003,36(2):279-291.
[31] SELVARAJU R R,COGSWELL M,DAS A,et al.Grad-CAM:Visual explanations from deep networks via gradient-based localization[J].International Journal of Computer Vision,2020,128(2):336-359.