[1] Li H Q, Sun Z N, Tan T N et al. Progress and trends in iris recognition[J]. Journal of Information Security Research, 2, 40-43(2016).

[2] Chen R, Lin X R, Ding T H. Liveness detection for iris recognition using multispectral images[J]. Pattern Recognition Letters, 33, 1513-1519(2012).

[3] Wu L F, Ma Y K, Zhou P et al. Review of biometric template protection[J]. Chinese Journal of Scientific Instrument, 37, 2407-2420(2016).

[4] Das P, Mcfiratht J, Fang Z Y et al. Iris liveness detection competition (LivDet-Iris) - the 2020 edition[C](2020).

[5] He Y Q, Hou Y S, Li Y J et al. Liveness iris detection method based on the eye's optical features[J]. Proceedings of SPIE, 7838, 236-243(2010).

[6] Lee J, Lee S H, Park J I. Detection of abnormal iris authentication[C](2019).

[7] Daugman J. Demodulation by complex-valued wavelets for stochastic pattern recognition[J]. International Journal of Wavelets, Multiresolution and Information Processing, 1, 1-17(2003).

[8] He Z F, Sun Z N, Tan T N et al. Efficient iris spoof detection via boosted local binary patterns[M]. Tistarelli M, Nixon M S. Advances in biometrics, 5558, 1080-1090(2009).

[9] Doyle J S, Bowyer K W. Robust detection of textured contact lenses in iris recognition using BSIF[J]. IEEE Access, 3, 1672-1683(2015).

[10] Lovish, Nigam A, Kumar B et al. Robust contact lens detection using local phase quantization and binary Gabor pattern[M]. Azzopardi G, Petkov N. Computer analysis of images and patterns, 9256, 702-714(2015).

[11] Agarwal R, Jalal A S, Arya K V. Local binary hexagonal extrema pattern (LBHXEP): a new feature descriptor for fake iris detection[J]. The Visual Computer, 37, 1357-1368(2021).

[12] Raghavendra R, Raja K B, Busch C. ContlensNet: robust iris contact lens detection using deep convolutional neural networks[C], 1160-1167(2017).

[13] Chen C J, Ross A. A multi-task convolutional neural network for joint iris detection and presentation attack detection[C], 44-51(2018).

[14] Gupta M, Singh V, Agarwal A et al. Generalized iris presentation attack detection algorithm under cross-database settings[C], 5318-5325(2021).

[15] Singh A, Mistry V, Yadav D et al. GHCLNet: a generalized hierarchically tuned contact lens detection network[C](2018).

[16] Choudhary M, Tiwari V, Venkanna U. An approach for iris contact lens detection and classification using ensemble of customized DenseNet and SVM[J]. Future Generation Computer Systems, 101, 1259-1270(2019).

[17] Yu F S, Yu J, Lu Y F et al. Gender classification of iris image based on residual network[J]. Laser & Optoelectronics Progress, 58, 1610022(2021).

[18] Agarwal R, Jalal A S. Presentation attack detection system for fake Iris: a review[J]. Multimedia Tools and Applications, 80, 15193-15214(2021).

[19] Fu J L, Zheng H L, Mei T. Look closer to see better: recurrent attention convolutional neural network for fine-grained image recognition[C], 4476-4484(2017).

[20] Sandler M, Howard A, Zhu M L et al. MobileNetV2: inverted residuals and linear bottlenecks[C], 4510-4520(2018).

[21] Yuan W Q, Bai Y, Ke L. Analysis of relationship between region of iris and the accuracy rate[J]. Acta Optica Sinica, 28, 937-942(2008).

[22] Zhang W X, Zhu Z C, Zhang Y H et al. Cell image segmentation method based on residual block and attention mechanism[J]. Acta Optica Sinica, 40, 1710001(2020).

[23] Kohli N, Yadav D, Vatsa M et al. Revisiting iris recognition with color cosmetic contact lenses[C](2013).

[24] Yadav D, Kohli N, Doyle J S et al. Unraveling the effect of textured contact lenses on iris recognition[J]. IEEE Transactions on Information Forensics and Security, 9, 851-862(2014).

[25] Doyle J S, Bowyer K W, Flynn P J. Variation in accuracy of textured contact lens detection based on sensor and lens pattern[C](2013).

[26] Czajka A, Fang Z Y, Bowyer K. Iris presentation attack detection based on photometric stereo features[C], 877-885(2019).

[27] Silva P, Luz E, Baeta R et al. An approach to iris contact lens detection based on deep image representations[C], 157-164(2015).

[28] You X A, Zhao P, Mu X D et al. Heterogeneous noise iris segmentation based on attention mechanism and dense multiscale features[J]. Laser & Optoelectronics Progress, 59, 0410006(2022).