Domain transformation of fingerprint images using CycleGAN

Ai Takahashi; Yoshinori Koda; Koichi Ito; Takafumi Aoki

doi:10.1109/GCCE46687.2019.9014646

Domain transformation of fingerprint images using CycleGAN

Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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.

Original language	English
Title of host publication	2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	9-10
Number of pages	2
ISBN (Electronic)	9781728135755
DOIs	https://doi.org/10.1109/GCCE46687.2019.9014646
Publication status	Published - 2019 Oct
Event	8th IEEE Global Conference on Consumer Electronics, GCCE 2019 - Osaka, Japan Duration: 2019 Oct 15 → 2019 Oct 18

Publication series

Name	2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019

Conference

Conference	8th IEEE Global Conference on Consumer Electronics, GCCE 2019
Country/Territory	Japan
City	Osaka
Period	19/10/15 → 19/10/18

Keywords

Biometrics
Fingerprint
GAN
Image normalization

ASJC Scopus subject areas

Instrumentation
Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Electrical and Electronic Engineering

Access to Document

10.1109/GCCE46687.2019.9014646

Cite this

Takahashi, A., Koda, Y., Ito, K., & Aoki, T. (2019). Domain transformation of fingerprint images using CycleGAN. In 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019 (pp. 9-10). [9014646] (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCCE46687.2019.9014646

Domain transformation of fingerprint images using CycleGAN. / Takahashi, Ai; Koda, Yoshinori; Ito, Koichi et al.

2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 9-10 9014646 (2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takahashi, A, Koda, Y, Ito, K & Aoki, T 2019, Domain transformation of fingerprint images using CycleGAN. in 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019., 9014646, 2019 IEEE 8th Global Conference on Consumer Electronics, GCCE 2019, Institute of Electrical and Electronics Engineers Inc., pp. 9-10, 8th IEEE Global Conference on Consumer Electronics, GCCE 2019, Osaka, Japan, 19/10/15. https://doi.org/10.1109/GCCE46687.2019.9014646

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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",

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N2 - 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.

AB - 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.

KW - Biometrics

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Domain transformation of fingerprint images using CycleGAN

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Fingerprint

Cite this