@inproceedings{18bb48b21e62498c94f2bc75f9b353be,
title = "Domain transformation of fingerprint images using CycleGAN",
abstract = "Fingerprint recognition has been used in various situations because of its high accuracy of person authentication. Fingerprint images taken by the different sensors have different brightness, resolution and noise even in the same fingers. Therefore, such fingerprint images have to be normalized so as to keep high-accuracy fingerprint recognition. This paper proposes a fingerprint image normalization method using domain conversion by CycleGAN. Though experiments, we demonstrate that the fingerprint image normalized by the proposed method improve the performance of fingerprint recognition.",
keywords = "Biometrics, Fingerprint, GAN, Image normalization",
author = "Ai Takahashi and Yoshinori Koda and Koichi Ito and Takafumi Aoki",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE Global Conference on Consumer Electronics, GCCE 2019 ; Conference date: 15-10-2019 Through 18-10-2019",
year = "2019",
month = oct,
doi = "10.1109/GCCE46687.2019.9014646",
language = "English",
series = "2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "9--10",
booktitle = "2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019",
address = "United States",
}