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Generating realistic biometric images has been an interesting and, at the same time, challenging problem.
A Chambolle, ”An algorithm for total variation minimization and applications.” Journal of Mathematical imaging and vision 20.1-2: 89-97, 2004
2004
Earlier work this paper cites.
Daugman, John. ”New methods in iris recognition.” IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 37.5: 1167-1175, 2007
2007
Earlier work this paper cites.
R. Cappelli, M. Ferrara, A. Franco and D. Maltoni, ”Fingerprint verification competition 2006”, Biometric Technology Today, vol.15, no.7-8, pp.7-9, August 2007
2007
Earlier work this paper cites.
Daugman, John. “How iris recognition works.” The essential guide to image processing. 2009. 715-739
2009
Earlier work this paper cites.
Abhyankar, Aditya, and Stephanie Schuckers, ”Integrating a wavelet based perspiration liveness check with fingerprint recognition.” Pattern Recognition 42.3: 452-464, 2009
2009
Earlier work this paper cites.
Beck, Amir, and Marc Teboulle. ”Fast gradient-based algorithms for constrained total variation image denoising and deblurring problems.” IEEE Transactions on Image Processing 18.11: 2419-2434, 2009
2009
Earlier work this paper cites.
Cappelli, Raffaele, Matteo Ferrara, and Davide Maltoni. “Minutia cylinder-code: A new representation and matching technique for fingerprint recognition.” IEEE Transactions on Pattern Analysis and Machine Intelligence 32.12 (2010): 2128-2141
2010
Earlier work this paper cites.
Zhao, Qijun, et al. “Adaptive fingerprint pore modeling and extraction.” Pattern Recognition 43.8 (2010): 2833-2844
2010
Earlier work this paper cites.
Q Zhao, D Zhang, L Zhang, N Luo, ”High resolution partial fingerprint alignment using pore–valley descriptors.” Pattern Recognition 43, no. 3: 1050-1061, 2010
2010
Earlier work this paper cites.
A Krizhevsky, I Sutskever, GE Hinton, “Imagenet classification with deep convolutional neural networks”, Advances in neural information processing systems. 2012
2012
Earlier work this paper cites.
I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, A Courville, and Y Bengio, “Generative adversarial nets.” In Advances in neural information processing systems, pp. 2672-2680. 2014
2014
Earlier work this paper cites.
2014
Earlier work this paper cites.
Zhang, Jian, Debin Zhao, and Wen Gao. ”Group-based sparse representation for image restoration.” IEEE Transactions on Image Processing 23.8: 3336-3351, 2014
2014
Cited alongside, same era.
S Minaee, Y Wang. ”Fingerprint recognition using translation invariant scattering network.” Signal Processing in Medicine and Biology Symposium (SPMB), IEEE, 2015
2015
Cited alongside, same era.
2015
Cited alongside, same era.
2015
Cited alongside, same era.
Isola, Phillip, et al. ”Image-to-image translation with conditional adversarial networks.”, arXiv preprint (2017)
2017
Later among the works it cites.
Zhang, Han, et al. “Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks.” arXiv preprint (2017)
2017
Later among the works it cites.
2017
Later among the works it cites.
JY Zhu, T Park, P Isola, AA Efros, “Unpaired image-to-image translation using cycle-consistent adversarial networks”, arXiv preprint, 2017
2017
Later among the works it cites.
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2016
Cited alongside, same era.
Jiang, Lu, et al. “A direct fingerprint minutiae extraction approach based on convolutional neural networks.” Neural Networks (IJCNN), 2016 International Joint Conference on, IEEE, 2016
2016
Cited alongside, same era.
Minaee, Shervin, AmirAli Abdolrashidi, and Yao Wang. “An experimental study of deep convolutional features for iris recognition.” Signal Processing in Medicine and Biology Symposium (SPMB), 2016 IEEE. IEEE, 2016
2016
Cited alongside, same era.
Shervin Minaee and Yao Wang, ”Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition”, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, no.99, pp.1-12, 2016
2016
Cited alongside, same era.
T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, and X Chen. ”Improved techniques for training gan”, In Advances in Neural Information Processing Systems, pp. 2234-2242, 2016
2016
Cited alongside, same era.
Tang, Yao, Fei Gao, and Jufu Feng. “Latent fingerprint minutia extraction using fully convolutional network.” Biometrics (IJCB), 2017 IEEE International Joint Conference on. IEEE, 2017
2017
Cited alongside, same era.
S Minaee and Y Wang, “Palmprint Recognition Using Deep Scattering Convolutional Network”, International Symposium on Circuits and Systems, IEEE, 2017
2017
Cited alongside, same era.
Ledig, Christian, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew P. Aitken et al. “Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network.” In CVPR, 2017
2017
Cited alongside, same era.
2017
Later among the works it cites.
Heusel, Martin, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. ”Gans trained by a two time-scale update rule converge to a local nash equilibrium.” In Advances in Neural Information Processing Systems, pp. 6626-6637, 2017
2017
Later among the works it cites.
2018
Closest in time.
Al-Waisy, Alaa S., et al. ”A multi-biometric iris recognition system based on a deep learning approach.” Pattern Analysis and Applications 21.3: 783-802, 2018
2018
Closest in time.
Gupta, Agrim, et al. “Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR). No. CONF. 2018
2018
Closest in time.
2018
Closest in time.