Domain-specific human-inspired binarized statistical image features for Iris recognition

Adam Czajka; Daniel Moreira; Kevin W. Bowyer; Patrick J. Flynn

doi:10.1109/WACV.2019.00107

Domain-specific human-inspired binarized statistical image features for Iris recognition

Adam Czajka, Daniel Moreira, Kevin W. Bowyer, Patrick J. Flynn

University of Notre Dame

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

Original language	English
Title of host publication	Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	959-967
Number of pages	9
ISBN (Electronic)	9781728119755
DOIs	https://doi.org/10.1109/WACV.2019.00107
State	Published - Mar 4 2019
Externally published	Yes
Event	19th IEEE Winter Conference on Applications of Computer Vision, WACV 2019 - Waikoloa Village, United States Duration: Jan 7 2019 → Jan 11 2019

Publication series

Name	Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019

Conference

Conference	19th IEEE Winter Conference on Applications of Computer Vision, WACV 2019
Country/Territory	United States
City	Waikoloa Village
Period	1/7/19 → 1/11/19

ASJC Scopus Subject Areas

Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1109/WACV.2019.00107

Cite this

Czajka, A., Moreira, D., Bowyer, K. W., & Flynn, P. J. (2019). Domain-specific human-inspired binarized statistical image features for Iris recognition. In Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019 (pp. 959-967). Article 8658238 (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WACV.2019.00107

Domain-specific human-inspired binarized statistical image features for Iris recognition. / Czajka, Adam; Moreira, Daniel; Bowyer, Kevin W. et al.
Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 959-967 8658238 (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

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

Czajka, A, Moreira, D, Bowyer, KW & Flynn, PJ 2019, Domain-specific human-inspired binarized statistical image features for Iris recognition. in Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019., 8658238, Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019, Institute of Electrical and Electronics Engineers Inc., pp. 959-967, 19th IEEE Winter Conference on Applications of Computer Vision, WACV 2019, Waikoloa Village, United States, 1/7/19. https://doi.org/10.1109/WACV.2019.00107

Czajka A, Moreira D, Bowyer KW, Flynn PJ. Domain-specific human-inspired binarized statistical image features for Iris recognition. In Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 959-967. 8658238. (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019). doi: 10.1109/WACV.2019.00107

Czajka, Adam ; Moreira, Daniel ; Bowyer, Kevin W. et al. / Domain-specific human-inspired binarized statistical image features for Iris recognition. Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 959-967 (Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019).

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BT - Proceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019

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Domain-specific human-inspired binarized statistical image features for Iris recognition

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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Cite this