Fingerprint Recognition with Embedded Cameras on Mobile Phones

Mohammad Derawi; Bian Yang; Christoph Busch

Security and Privacy in Mobile Information and Communication Systems. Third International ICST Conference, MobiSec 2011, Aalborg, Denmark, May 17-19, 2011, Revised Selected Papers

Research Article

Fingerprint Recognition with Embedded Cameras on Mobile Phones

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@INPROCEEDINGS{10.1007/978-3-642-30244-2_12,
    author={Mohammad Derawi and Bian Yang and Christoph Busch},
    title={Fingerprint Recognition with Embedded Cameras on Mobile Phones},
    proceedings={Security and Privacy in Mobile Information and Communication Systems. Third International ICST Conference, MobiSec 2011, Aalborg, Denmark, May 17-19, 2011, Revised Selected Papers},
    proceedings_a={MOBISEC},
    year={2012},
    month={10},
    keywords={biometric systems fingerprint recognition mobile phone cameras user authentication},
    doi={10.1007/978-3-642-30244-2_12}
}

Mohammad Derawi
Bian Yang
Christoph Busch
Year: 2012
Fingerprint Recognition with Embedded Cameras on Mobile Phones
MOBISEC
Springer
DOI: 10.1007/978-3-642-30244-2_12

Mohammad Derawi¹^,*, Bian Yang¹^,*, Christoph Busch¹^,*

1: Gjvik University College

*Contact email: mohammad.derawi@hig.no, bian.yang@hig.no, christoph.busch@hig.no

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.

Keywords: biometric systems fingerprint recognition mobile phone cameras user authentication

Published: 2012-10-22

: http://dx.doi.org/10.1007/978-3-642-30244-2_12