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Proceedings Paper

Collecting fingerprints for recognition using mobile phone cameras
Author(s): Bian Yang; Xue Li; Christoph Busch
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Paper Abstract

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. Keywords: Fingerprint, quality assessment, mobile phone camera

Paper Details

Date Published: 9 February 2012
PDF: 8 pages
Proc. SPIE 8304, Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI, 83040L (9 February 2012); doi: 10.1117/12.909920
Show Author Affiliations
Bian Yang, Gjøvik Univ. College (Norway)
Xue Li, Gjøvik Univ. College (Norway)
Christoph Busch, Gjøvik Univ. College (Norway)

Published in SPIE Proceedings Vol. 8304:
Multimedia on Mobile Devices 2012; and Multimedia Content Access: Algorithms and Systems VI
Cees G. M. Snoek; Reiner Creutzburg; Nicu Sebe; David Akopian; Lyndon Kennedy, Editor(s)

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