Fingerprint recognition system performance in the maritime environment

Fakourfar, Hourieh; Belongie, Serge

doi:10.1109/wacv.2009.5403068

Cited by 10 publications

(7 citation statements)

References 3 publications

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“…Ring finger and little finger have the highest error rates in wet condition. This supports the conclusion, consistent with [8] that the ring finger is among the bad choices. It also shows the thumb to be the best choice.…”

Section: Fingers To Usesupporting

confidence: 90%

“…Fakourfar et al [8] studied the performance of the fingerprint recognition systems with wet fingerprints. Their database was constructed by soaking the right hand in a glove filled with cold water for about 30 minutes.…”

Section: Related Workmentioning

confidence: 99%

“…Applications include access control, forensics, and security. Fakourfar et al [8] had shown a degradation in the performance on a small number of subjects on a particular commercial matching algorithm. In this paper, we try to make a more detailed analysis of the problem of recognition on wrinkled fingertips and propose possible directions to take it forward.…”

Section: Introductionmentioning

confidence: 99%

“…Because there are no publicly available datasets of wrinkled, waterlogged fingerprints and because the only prior study had very few prints [8], we acquired our own dataset. In this paper we introduce the Wet and Wrinkled Finger (WWF) database to examine the phenomenon of wrinkling, and we will make this database available to other researchers upon publication.…”

Section: Introductionmentioning

confidence: 99%

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Wet fingerprint recognition: Challenges and opportunities

Krishnasamy

Belongie

Kriegman

2011

2011 International Joint Conference on Biometrics (IJCB)

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Many fingers wrinkle or shrivel when immersed in water. When used for biometric identification, the recognition rate for wrinkled fingers degrades. The impact of wrinkling has so far not been well-understood. In this study, we present an investigation of how the finger-skin expansion due to wrinkling impacts the quality of scanned fingerprints and characterize the qualitative changes that affect recognition. We also introduce the Wet and Wrinkled Finger (WWF) database that we will make available to other researchers. In this database of 300 fingers, 185 are visibly wrinkled after immersion; multiple images of dry and immersed fingerprints were acquired.In this paper, we present baseline recognition rates on WWF using two algorithms -a commercial fingerprint recognition algorithm and the publicly available Bozorth3 matcher. Specifically, we show a degradation in accuracy with both algorithms when comparing Dry-finger to Dryfinger verification with Dry-finger to Wet-finger verification. We analyze performance on a per-finger basis and note a difference in accuracy amongst fingers, and as consequence make recommendations about which fingers to use in environments where fingers are apt to be wet. Additionally, we propose an implementation of a classifier that can decide if the incoming query is wrinkled.

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Section: Fingers To Usesupporting

confidence: 90%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Wet fingerprint recognition: Challenges and opportunities

Krishnasamy

Belongie

Kriegman

2011

2011 International Joint Conference on Biometrics (IJCB)

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“…Hourieh Fakourfar and Serge Belongie [25] devise a method to assess the effect of water-induced finger that degrade the performance of minutiae-based FR system. The test results show EER on dry finger 2.13% and wrinkled finger 3.15%.…”

Section: A Matching Techniques and Recognition Methodsmentioning

confidence: 99%

A Study of Biometric Approach Using Fingerprint Recognition

Subban¹,

Mankame²

2013

LNSE

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Abstract-Fingerprint (FP) serves to identify that the person authenticating is who he/she claims to be. FP identification is popular biometric technique due to easiness in acquiring, availability of plenty sources (i.e. ten fingers) for collecting data and their established use. This paper summarizes the research work carried out in FP matching techniques, recognition methods and their performance analysis.

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