Personal Authentication for Periocular Region in Thermal and Visible Light Images by Using CNN
Author:
Affiliation:
1. The University of Electro-Communications
Publisher
Information Processing Society of Japan
Link
https://www.jstage.jst.go.jp/article/ipsjjip/32/0/32_396/_pdf
Reference36 articles.
1. [1] Gomez-Barrero, M., Drozdowski, P., Rathgeb, C., et al.: Biometrics in the era of COVID-19: challenges and opportunities, IEEE Trans. Technology and Society, DOI:10.1109/TTS.2022.3203571 (2022).
2. [2] Kumar, G., Zaveri, M.A., Bakshi, S., et al.: Who is behind the Mask: Periocular Biometrics when Face Recognition Fails, Proc. 2nd International Conference on Power, Control and Computing Technologies, pp.1-6 (2022).
3. [3] Karahan, Ş., Karaoz, A., Ozdemir, O.F., et al.: On identification from periocular region utilizing SIFT and SURF, Proc. 22nd European Signal Processing Conference, pp.1392-1396 (2014).
4. [4] Nakamura, T., Yoshiura, H. and Ichino, M.: Periocular Recognition Based on Features from Thermal and Visible-Light Images, Proc. IEEE 10th Global Conference on Consumer Electronics, pp.980-981 (2021).
5. [5] Nakamura, T., Yoshiura, H. and Ichino, M.: Periocular Recognition by Integrating Thermal and Visible Light Images, Proc. Computer Security Symposium 2021, pp.191-198 (2021) (in Japanese).
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