Fetching the paper…
Reading the bibliography…
Fingerprint recognition has been utilized for cellphone authentication, airport security and beyond.
1907
Earlier work this paper cites.
LeCun, Yann, et al. ”Gradient-based learning applied to document recognition.” Proceedings of the IEEE 86.11: 2278-2324, 1998
1998
Earlier work this paper cites.
U. Park, S. Pankanti, AK. Jain, “Fingerprint verification using SIFT features,” SPIE Defense and Security Symposium, 2008
2008
Earlier work this paper cites.
Q. Zhao, L. Zhang, D. Zhang, N. Luo, “Direct pore matching for fingerprint recognition,” In Advances in Biometrics, pp. 597- 606. Springer Berlin Heidelberg, 2009
2009
Earlier work this paper cites.
R. Cappelli, M. Ferrara, D. Maltoni, “Minutia cylinder-code: A new representation and matching technique for fingerprint recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010
2010
Earlier work this paper cites.
Q Zhao, D Zhang, L Zhang, and N Luo, ”Adaptive Fingerprint Pore Modeling and Extraction,” Pattern Recognition, 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.
Dong, Chao, et al. ”Learning a deep convolutional network for image super-resolution.” European conference on computer vision. Springer, Cham, 2014
2014
Earlier work this paper cites.
Sun, Yi, et al. ”Deep learning face representation by joint identification-verification.” Advances in neural information processing systems. 2014
2014
Earlier work this paper cites.
Kim, Yoon. ”Convolutional neural networks for sentence classification.”, Conference on Empirical Methods on Natural Language Processing, 2014
2014
Earlier work this paper cites.
2014
Cited alongside, same era.
AS Razavian, H Azizpour, et al. ”CNN features off-the-shelf: an astounding baseline for recognition.” IEEE conference on computer vision and pattern recognition workshops, 2014
2014
Cited alongside, same era.
HM Jirandeh, H Sadeghi, MSJ Rad, ”High-Resolution Automated Fingerprint Recognition System (AFRS) based on Gabor wavelet and SVM”, International Journal of Scientific and Engineering Research, Volume 5, 2014
2014
Cited alongside, same era.
Marasco, Emanuela, and Arun Ross. ”A survey on antispoofing schemes for fingerprint recognition systems.” ACM Computing Surveys (CSUR) 47.2 (2015): 28
2015
Cited alongside, same era.
S Minaee, A Abdolrashidi, Y Wang. ”An experimental study of deep convolutional features for iris recognition.” signal processing in medicine and biology symposium (SPMB), IEEE, 2016
2016
Later among the works it cites.
S Minaee, A Abdolrashidi, and Y Wang. ”Face recognition using scattering convolutional network.” Signal Processing in Medicine and Biology Symposium (SPMB). IEEE, 2017
2017
Later among the works it cites.
Badrinarayanan, Vijay, Alex Kendall, and Roberto Cipolla. ”Segnet: A deep convolutional encoder-decoder architecture for image segmentation.” IEEE transactions on pattern analysis and machine intelligence 39.12: 2481-2495, 2017
2017
Later among the works it cites.
S Minaee, Z Liu. ”Automatic question-answering using a deep similarity neural network.” Global Conference on Signal and Information Processing, IEEE, 2017
2017
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Minaee, Shervin, and AmirAli Abdolrashidi. ”Highly accurate palmprint recognition using statistical and wavelet features.” Signal Processing and Signal Processing Education Workshop (SP/SPE), IEEE, 2015
2015
Cited alongside, same era.
S Minaee, A Abdolrashidi, and Y Wang. ”Iris recognition using scattering transform and textural features.” Signal Processing and Signal Processing Education Workshop, IEEE, 2015
2015
Cited alongside, same era.
Ren, S., He, K., Girshick, R., Sun, J. “Faster r-cnn: Towards real-time object detection with region proposal networks”, In Advances in neural information processing systems, 2015
2015
Cited alongside, same era.
Severyn, Aliaksei, and Alessandro Moschitti. ”Learning to rank short text pairs with convolutional deep neural networks.” Proceedings of the 38th international ACM SIGIR conference on research and development in information retrieval. ACM, 2015
2015
Cited alongside, same era.
Bowyer, Kevin W., and Mark J. Burge, eds. ”Handbook of iris recognition”. London, UK: Springer, 2016
2016
Cited alongside, same era.
He, Kaiming, et al. ”Deep residual learning for image recognition.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016
2016
Cited alongside, same era.
https://pytorch.org/
Cited in the paper.
http://www.comp.polyu.edu.hk/ biometrics/HRF/HRF.htm
Cited in the paper.
Minaee, Shervin, et al. ”A deep unsupervised learning approach toward MTBI identification using diffusion MRI.” International Conference on Engineering in Medicine and Biology Society (EMBC), IEEE, 2018
2018
Later among the works it cites.
Karimi-Bidhendi, Saeed, Faramarz Munshi, and Ashfaq Munshi. ”Scalable Classification of Univariate and Multivariate Time Series.” 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018
2018
Later among the works it cites.
2019
Closest in time.
Minaee, Shervin, et al. ”MTBI Identification From Diffusion MR Images Using Bag of Adversarial Visual Features.” IEEE transactions on medical imaging, 2019
2019
Closest in time.
Ding, Changxing, and Dacheng Tao. ”Robust face recognition via multimodal deep face representation.” IEEE Transactions on Multimedia 17.11 (2015): 2049-2058
2058
Closest in time.