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Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Feature...

Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Feature...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d56d58c394704952af124f3e9babf7ef

Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor

About this item

Full title

Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor

Publisher

Switzerland: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2018-08, Vol.18 (8), p.2601

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Iris recognition systems have been used in high-security-level applications because of their high recognition rate and the distinctiveness of iris patterns. However, as reported by recent studies, an iris recognition system can be fooled by the use of artificial iris patterns and lead to a reduction in its security level. The accuracies of previous...

Alternative Titles

Full title

Deep Learning-Based Enhanced Presentation Attack Detection for Iris Recognition by Combining Features from Local and Global Regions Based on NIR Camera Sensor

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d56d58c394704952af124f3e9babf7ef

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d56d58c394704952af124f3e9babf7ef

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s18082601

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