Pores and Ridges: High-Resolution Fingerprint Matching Using Level 3 Features
IEEE Transactions on Pattern Analysis and Machine Intelligence
BioID'11 Proceedings of the COST 2101 European conference on Biometrics and ID management
Proceedings of the thirteenth ACM multimedia workshop on Multimedia and security
WIFS '11 Proceedings of the 2011 IEEE International Workshop on Information Forensics and Security
First investigation of latent fingerprints long-term aging using chromatic white light sensors
Proceedings of the first ACM workshop on Information hiding and multimedia security
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Determining the age of latent fingerprints found at crime scenes is a very pressing, yet so far unresolved challenge in forensics. Recently, a first aging feature called binary pixel has been introduced, based on the loss of image contrast of fingerprint time series captured non-invasively with a Chromatic White Light (CWL) sensor. Such new feature seems to be promising, showing a logarithmic behavior for fingerprints when aging. However, a CWL sensor is very expensive, bulky and comparatively slow in the acquisition. We here explore the possibility of using a common flat bed scanner as a cheaper, more flexible and faster alternative to the CWL technique. Comparing 250 fingerprint time series scanned in regular time intervals over a period of 24 hours with a CWL sensor as well as a flat bed scanner (18000 scans in total), our conclusions are threefold: firstly, the binary pixel feature can reliably be produced with a flat bed scanner for scan images of sufficient quality according to our subjective quality metric defined in this paper. Secondly, however, only 24% of flat bed scanner images are of high quality, clearly showing the much higher reliability of CWL results. Thirdly, the experiments furthermore indicate that the binary pixel feature is not sensor specific and can be applied to different image sensors.