Post-mortem iris recognition with deep-learning-based image segmentation

Image and Vision Computing - Tập 94 - Trang 103866 - 2020
Mateusz Trokielewicz1, Adam Czajka2, Piotr Maciejewicz3
1Biometrics and Machine Intelligence Laboratory, Research and Academic Computer Network, Kolska 12, Warsaw 01-045, Poland
2Department of Computer Science, University of Notre Dame, 46556 IN, USA
3Department of Ophthalmology, Medical University of Warsaw, Lindleya 4, 02-005 Warsaw, Poland

Tài liệu tham khảo

Sansola, 2015 Saripalle, 2015, Post-mortem iris biometric analysis in Sus scrofa domesticus Trokielewicz, 2016, Post-mortem human iris recognition Trokielewicz, 2016, Human iris recognition in post-mortem subjects: study and database Bolme, 2016, Impact of environmental factors on biometric matching during human decomposition Sauerwein, 2017, The effect of decomposition on the efficacy of biometrics for positive identification, J. Forensic Sci., 62, 1599, 10.1111/1556-4029.13484 Trokielewicz, 2018, Iris recognition after death, IEEE Trans. Inf. Forensics Secur., 4, 1501, 10.1109/TIFS.2018.2881671 Trokielewicz, 2018, Presentation attack detection for cadaver iris MIT Technology Review Trokielewicz, 2018, Data-driven segmentation of post-mortem iris images, 1 G. Sutra, B. Dorizzi, S. Garcia-Salitcetti, N. Othman. A biometric reference system for iris. OSIRIS, Fourth official version 4.1, 25/04/2013. BBC News IrisGuard IriTech Warsaw University of Technology Warsaw University of Technology Warsaw University of Technology Trokielewicz, 2015, Database of iris images acquired in the presence of ocular pathologies and assessment of iris recognition reliability for disease-affected eyes Daugman, 2007, New methods in iris recognition, IEEE Trans. Syst. Man Cybern. B Cybern., 37, 1167, 10.1109/TSMCB.2007.903540 Badrinarayanan, 2017, SegNet: a deep convolutional encoder-decoder architecture for image segmentation, IEEE Trans. Pattern Anal. Mach. Intell., 39, 10.1109/TPAMI.2016.2644615 Kerrigan, 2019, Iris recognition with image segmentation employing retrained off-the-shelf deep neural networks Hofbauer, 2019, Exploiting superior CNN-based iris segmentation for better recognition accuracy, Pattern Recogn. Lett., 120, 17, 10.1016/j.patrec.2018.12.021 IriTech Inc., IriCore Software Developer's Manual, version 3.6, 2013.