Enhancing iris authentication on handheld devices using deep learning derived segmentation techniques

Shabab Bazrafkan, Peter Corcoran

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

19 Citations (Scopus)

Abstract

In this paper the increasing use of biometrie authentication on handheld devices is considered and the importance of accurate iris segmentation in implementing an embedded authentication workflow based on iris authentication is explained. A deep learning scheme is then developed and an appropriate augmentation method is presented to solve the problem of the iris segmentation task in handheld devices. Initial comparisons with publicly available iris segmentation algorithms show significant performance improvements, particularly on challenging image datasets designed to mimic the image quality obtained from a handheld device.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Consumer Electronics, ICCE 2018
EditorsSaraju P. Mohanty, Peter Corcoran, Hai Li, Anirban Sengupta, Jong-Hyouk Lee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538630259
DOIs
Publication statusPublished - 26 Mar 2018
Event2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States
Duration: 12 Jan 201814 Jan 2018

Publication series

Name2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Volume2018-January

Conference

Conference2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Country/TerritoryUnited States
CityLas Vegas
Period12/01/1814/01/18

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