Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices

Zhang, Qi; Li, Haiqing; Sun, Zhenan; Tan, Tieniu

doi:10.1109/TIFS.2018.2833033

Record: found
Abstract: not found
Article: not found

Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices

Author(s): Qi Zhang , Haiqing Li , Zhenan Sun , Tieniu Tan

Publication date (Print): November 2018

Journal: IEEE Transactions on Information Forensics and Security

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

Read this article at

ScienceOpenPublisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 52

Record: found
Abstract: not found
Article: not found

High confidence visual recognition of persons by a test of statistical independence

J.G. Daugman (1993)

0 comments Cited 231 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Iris recognition: an emerging biometric technology

R.P. Wildes (1997)

0 comments Cited 124 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

Kien Nguyen, Clinton Fookes, Arun Ross … (2018)

0 comments Cited 35 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Journal

Title: IEEE Transactions on Information Forensics and Security

Abbreviated Title: IEEE Trans.Inform.Forensic Secur.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 1556-6013

ISSN (Electronic): 1556-6021

Publication date Created: November 2018

Publication date (Print): November 2018

Volume: 13

Issue: 11

Pages: 2897-2912

Article

DOI: 10.1109/TIFS.2018.2833033

SO-VID: e30c31b1-5393-4322-a1a6-8928169e2833

History

Data availability:

Deep Feature Fusion for Iris and Periocular Biometrics on Mobile Devices

Read this article at

Related collections

Scientific Phone Apps and Mobile Devices

Most cited references 52

High confidence visual recognition of persons by a test of statistical independence

Iris recognition: an emerging biometric technology

Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective

Author and article information

Journal

Article

History

Comments

Comment on this article

Similar content 1,938

Cited by 21

Most referenced authors 390