Collecting fingerprints for recognition using mobile phone cameras
Journal article, Peer reviewed
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http://hdl.handle.net/11250/142558Utgivelsesdato
2012Metadata
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Originalversjon
Yang, B., Li, X. & Busch, C. (2012). Collecting fingerprints for recognition using mobile phone cameras. Proceedings of SPIE, the International Society for Optical Engineering, 8304. http://dx.doi.org/10.1117/12.909920Sammendrag
We present in this paper a sample quality control approach for the case using a mobile phone’s camera as a fingerprint
sensor for fingerprint recognition. Our approach directly estimates the maximum ridge frequency orientation by the
amplitude-frequency features of the Fast Fourier Transform and takes the frequency features’ difference in two
perpendicular orientations as a distinguishing feature for ridge-like patterns. Then a decision criterion which combines
the frequency components’ energy and ridge orientation features is used to determine if an image block should be
classified as high-quality fingerprint area or not. The number of such high-quality blocks can thus be used to indicate the
whole fingerprint sample’s quality. Experiments show this approach's effectiveness in distinguishing the high-quality
blocks from other low-quality ones or background area. Mapping the quality metric to the sample utility as derived from
the the NIST minutiae extractor "mindtct" function is also given to verify the approach's quality prediction effectiveness.
Beskrivelse
This is the copy of journal's version originally published in Proc. SPIE 8304: http://dx.doi.org/10.1117/12.909920. Reprinted with permission of SPIE.