@inproceedings{dc0770e29aa34b2fa9b9ac6494ed9cce,
title = "Generation of Fake Iris Images Using CycleGAN",
abstract = "With the development of biometric recognition technology, identification of users through biometric information such as iris, fingerprint, and palm print is being applied to many areas. In the case of iris, various methods of recognition and methods of detection of fake iris have been studied at the iris recognition stage. However, fake iris detection research has been conducted by using the printed output or the artificial iris due to the absence of fake iris data. In this paper, fake iris images are generated for the research of the detection of fake iris using CycleGAN. The CycleGAN model has learned to reduce constraints against existing generation models and to avoid bias in probability distributions using bidirectional LossFunction. In the experiment, CASIA Iris Image Database ver 4.0 was used and the data was obtained for the detection of fake iris by creating fake iris.",
keywords = "CycleGAN, Fake image, Fake iris, GAN, Iris",
author = "Choi, {Jae gab} and Park, {Jin Ho} and Kim, {Gye Young}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Singapore Pte Ltd.; 11th International Conference on Computer Science and its Applications, CSA 2019 and 14th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2019 ; Conference date: 18-12-2019 Through 20-12-2019",
year = "2021",
doi = "10.1007/978-981-15-9343-7_70",
language = "English",
isbn = "9789811593420",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "503--507",
editor = "Park, {James J.} and Fong, {Simon James} and Yi Pan and Yunsick Sung",
booktitle = "Advances in Computer Science and Ubiquitous Computing - CSA-CUTE 2019",
address = "Germany",
}