Abstract
Mobile phones with a camera function are capable of capturing image and processing tasks. Fingerprint recognition has been used in many different applications where high security is required. A first step towards a novel biometric authentication approach applying cell phone cameras capturing fingerprint images as biometric traits is proposed. The proposed method is evaluated using 1320 fingerprint images from each embedded capturing device. Fingerprints are collected by a Nokia N95 and a HTC Desire. The overall results of this approach show a biometric performance with an Equal Error Rate (EER) of 4.5% by applying a commercial extractor/comparator and without any preproccesing on the images.
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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Derawi, M.O., Yang, B., Busch, C. (2012). Fingerprint Recognition with Embedded Cameras on Mobile Phones. In: Prasad, R., Farkas, K., Schmidt, A.U., Lioy, A., Russello, G., Luccio, F.L. (eds) Security and Privacy in Mobile Information and Communication Systems. MobiSec 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 94. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30244-2_12
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DOI: https://doi.org/10.1007/978-3-642-30244-2_12
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