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Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss

Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d87520dcf3e04f8ba8f7c5fcc7a855ef

Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss

About this item

Full title

Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss

Publisher

Basel: MDPI AG

Journal title

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6973

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

A fingerprint sensor interoperability problem, or a cross-sensor matching problem, occurs when one type of sensor is used for enrolment and a different type for matching. Fingerprints captured for the same person using various sensor technologies have various types of noises and artifacts. This problem motivated us to develop an algorithm that can...

Alternative Titles

Full title

Cross-Sensor Fingerprint Enhancement Using Adversarial Learning and Edge Loss

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_d87520dcf3e04f8ba8f7c5fcc7a855ef

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d87520dcf3e04f8ba8f7c5fcc7a855ef

Other Identifiers

ISSN

1424-8220

E-ISSN

1424-8220

DOI

10.3390/s22186973

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