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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| Vydané v: | IET biometrics Ročník 6; číslo 4; s. 245 - 255 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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Stevenage
The Institution of Engineering and Technology
01.07.2017
John Wiley & Sons, Inc |
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| ISSN: | 2047-4938, 2047-4946, 2047-4946 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Kauba, Christof Uhl, Andreas |
| Author_xml | – sequence: 1 givenname: Christof orcidid: 0000-0002-2716-1360 surname: Kauba fullname: Kauba, Christof email: ckauba@cosy.sbg.ac.at organization: Department of Computer Sciences, University of Salzburg, Jakob-Haringer-Str. 2, 5020 Salzburg, Austria – sequence: 2 givenname: Andreas surname: Uhl fullname: Uhl, Andreas organization: Department of Computer Sciences, University of Salzburg, Jakob-Haringer-Str. 2, 5020 Salzburg, Austria |
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| Cites_doi | 10.1109/BIOSIG.2015.7314619 10.1109/IWBF.2016.7449683 10.1109/TED.2007.908906 10.1145/2482513.2482531 10.1364/OE.18.008338 10.1007/978-3-540-25948-0_1 10.1109/TIP.2007.901238 10.1109/83.841531 10.1117/12.2005850 10.1109/BTAS.2014.6996274 10.1007/978-1-4614-0757-7_6 10.1117/12.806109 10.1109/DFT.2007.59 10.1117/12.642839 |
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| Keywords | 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 |
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| SubjectTerms | 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 |
| Title | Fingerprint recognition under the influence of image sensor ageing |
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