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access icon openaccess Fingerprint recognition under the influence of image sensor ageing

This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Received 01/07/2016, Accepted 16/12/2016, Revised 15/12/2016, Published 20/12/2016

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.

Inspec keywords: fingerprint identification; image denoising; image sensors

Other keywords: FingerCode; fingerprint recognition; denoising; Phase Only Correlation; NBIS; Fingerprint recognition performance; stuck pixels; ageing simulation algorithm; image sensor ageing related effects; defective pixels; FVC2002 data set; hot pixels; FVC2004 data set; VeriFinger

Subjects: Image sensors; Computer vision and image processing techniques; Image recognition

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http://iet.metastore.ingenta.com/content/journals/10.1049/iet-bmt.2016.0106
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