An Approach to Iris Contact Lens Detection Based on Deep Image Representations
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David Menotti | Pedro Silva | Eduardo José da S. Luz | Alexandre X. Falcão | Hélio Pedrini | Rafael Baeta | Pedro H. L. Silva | A. Falcão | H. Pedrini | D. Menotti | Rafael Baeta
[1] Ming Yang,et al. DeepFace: Closing the Gap to Human-Level Performance in Face Verification , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Jürgen Schmidhuber,et al. Multi-column deep neural network for traffic sign classification , 2012, Neural Networks.
[3] Richa Singh,et al. Revisiting iris recognition with color cosmetic contact lenses , 2013, 2013 International Conference on Biometrics (ICB).
[4] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[5] Jaime S. Cardoso,et al. MobILive 2014 - Mobile Iris Liveness Detection Competition , 2014, IEEE International Joint Conference on Biometrics.
[6] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[7] Richa Singh,et al. On Iris Spoofing Using Print Attack , 2014, 2014 22nd International Conference on Pattern Recognition.
[8] Richa Singh,et al. Unraveling the Effect of Textured Contact Lenses on Iris Recognition , 2014, IEEE Transactions on Information Forensics and Security.
[9] Tieniu Tan,et al. Counterfeit iris detection based on texture analysis , 2008, 2008 19th International Conference on Pattern Recognition.
[10] John Daugman,et al. Demodulation by Complex-Valued Wavelets for Stochastic Pattern Recognition , 2003, Int. J. Wavelets Multiresolution Inf. Process..
[11] John Daugman,et al. High Confidence Visual Recognition of Persons by a Test of Statistical Independence , 1993, IEEE Trans. Pattern Anal. Mach. Intell..
[12] K.W. Bowyer,et al. Contact lenses: Handle with care for iris recognition , 2009, 2009 IEEE 3rd International Conference on Biometrics: Theory, Applications, and Systems.
[13] Ramachandra Raghavendra,et al. Robust Scheme for Iris Presentation Attack Detection Using Multiscale Binarized Statistical Image Features , 2015, IEEE Transactions on Information Forensics and Security.
[14] David D. Cox,et al. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures , 2013, ICML.
[15] Nicolas Pinto,et al. Beyond simple features: A large-scale feature search approach to unconstrained face recognition , 2011, Face and Gesture 2011.
[16] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[17] Rishi Gupta,et al. Iris Recognition System , 2010 .
[18] Luca Maria Gambardella,et al. Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition , 2010, ArXiv.
[19] Patrick J. Flynn,et al. Variation in accuracy of textured contact lens detection based on sensor and lens pattern , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[20] K. Harshika. Image Quality Assessment for Fake Biometric Detection : Application to Iris , Fingerprint , and Face Recognition , 2017 .
[21] Luca Maria Gambardella,et al. Deep, Big, Simple Neural Nets for Handwritten Digit Recognition , 2010, Neural Computation.
[22] Anderson Rocha,et al. Learning Person-Specific Representations From Faces in the Wild , 2014, IEEE Transactions on Information Forensics and Security.
[23] Kevin W. Bowyer,et al. Cosmetic Contact Lenses and Iris Recognition Spoofing , 2014, Computer.
[24] D. G. Albrecht,et al. Cortical neurons: Isolation of contrast gain control , 1992, Vision Research.
[25] Wei Cao,et al. Robust iris recognition using sparse error correction model and discriminative dictionary learning , 2014, Neurocomputing.
[26] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Tieniu Tan,et al. Iris Image Classification Based on Hierarchical Visual Codebook , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] A. Lakshmi,et al. DEEP REPRESENTATIONS FOR IRIS , FACE , AND FINGERPRINT SPOOFING DETECTION , 2017 .
[29] Tieniu Tan,et al. Efficient Iris Spoof Detection via Boosted Local Binary Patterns , 2009, ICB.
[30] Matti Pietikäinen,et al. Generalized textured contact lens detection by extracting BSIF description from Cartesian iris images , 2014, IEEE International Joint Conference on Biometrics.
[31] Patrick J. Flynn,et al. Image understanding for iris biometrics: A survey , 2008, Comput. Vis. Image Underst..
[32] Tieniu Tan,et al. Iris Anti-spoofing , 2014, Handbook of Biometric Anti-Spoofing.
[33] Kang Ryoung Park,et al. Fake Iris Detection by Using Purkinje Image , 2006, ICB.
[34] David D. Cox,et al. A High-Throughput Screening Approach to Discovering Good Forms of Biologically Inspired Visual Representation , 2009, PLoS Comput. Biol..
[35] Tieniu Tan,et al. Contact Lens Detection Based on Weighted LBP , 2010, 2010 20th International Conference on Pattern Recognition.
[36] David Menotti,et al. Vehicle License Plate Recognition With Random Convolutional Networks , 2014, 2014 27th SIBGRAPI Conference on Graphics, Patterns and Images.
[37] Yann LeCun,et al. Pedestrian Detection with Unsupervised Multi-stage Feature Learning , 2012, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[38] Hishammuddin Asmuni,et al. Feature extraction for different distances of visible reflection iris using multiscale sparse representation of local Radon transform , 2013, Pattern Recognit..
[39] Patrick J. Flynn,et al. Degradation of iris recognition performance due to non-cosmetic prescription contact lenses , 2010, Comput. Vis. Image Underst..