Fingerprint recognition under the influence of image sensor ageing

Fingerprint recognition performance is affected by many factors. One of these is defective pixels caused by ageing effects of the image sensor. The authors investigate the impact of these image sensor ageing related pixel defects on the performance of different fingerprint (NBIS, VeriFinger, FingerC...

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Vydáno v:IET biometrics Ročník 6; číslo 4; s. 245 - 255
Hlavní autoři: Kauba, Christof, Uhl, Andreas
Médium: Journal Article
Jazyk:angličtina
Vydáno: Stevenage The Institution of Engineering and Technology 01.07.2017
John Wiley & Sons, Inc
Témata:
ageing simulation algorithm
Aging
Algorithms
Biometric recognition systems
Biometrics
Cosmic rays
Datasets
defective pixels
Defects
denoising
FingerCode
fingerprint identification
fingerprint recognition
Fingerprint recognition performance
Fingerprint verification
FVC2002 data set
FVC2004 data set
hot pixels
image denoising
image sensor ageing related effects
image sensors
Influence
NBIS
Phase Only Correlation
Pixels
Sensors
Simulation
Special Issue: Selected Papers from the International Workshop on Biometrics and Forensics (IWBF2016)
stuck pixels
VeriFinger
fingerprint identification
Phase Only Correlation
VeriFinger
FVC2002 data set
FVC2004 data set
image sensor ageing related effects
stuck pixels
ageing simulation algorithm
image denoising
image sensors
denoising
hot pixels
defective pixels
Fingerprint recognition performance
NBIS
fingerprint recognition
FingerCode
ISSN:2047-4938, 2047-4946, 2047-4946
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Shrnutí:Fingerprint recognition performance is affected by many factors. One of these is defective pixels caused by ageing effects of the image sensor. The authors investigate the impact of these image sensor ageing related pixel defects on the performance of different fingerprint (NBIS, VeriFinger, FingerCode and Phase Only Correlation) recognition systems. Their performances are compared against each other to quantify the differences in the impact. In practice, besides image sensor ageing related effects, other influences are also present. As the authors aim to evaluate the impact of the defective pixels only, disregarding subject ageing and other external influences, it is not possible to use real image data. Instead, an experimental study utilising an ageing simulation algorithm introducing hot and stuck pixels is conducted on the FVC2002 and FVC2004 data sets, including tests with different denoising approaches trying to mitigate the effects of image sensor ageing while maintaining the baseline recognition accuracy.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2047-4938
2047-4946
2047-4946
DOI:10.1049/iet-bmt.2016.0106