Ecole d'ingénieur et centre de recherche en Sciences du numérique

Multimodal authentication on Smartphones: combining iris and sensor recognition for a double check of user identity

Galdi, Chiara; Nappi, Michele; Dugelay, Jean-Luc

Pattern Recognition Letters, Elsevier, September 2015, ISSN: 0167-8655

EAB Biometrics Research and Industry Award 2016

Iris recognition on mobile devices is a challenging task, performing acquisition via the embedded sensors can introduce the sensor interoperability problem. Biometric systems developed so far are limited in their ability of comparing biometric data originated by different sensors because they operate under the assumption that the data to be compared are obtained using the same sensor. This problem leaded to the development of biometric recognition algorithms able to work independently from the data source. In this paper, we get around the sensor interoperability problem leveraging on the picture differences due to acquisition by different sensors. We present a novel system that combines the recognition of user's iris and user's device, i.e. something the user is plus something the user has. To do so, we adopted an iris recognition algorithm, namely Cumulative Sums, and a well-known technique in the image forensic field for camera source identification based on the extraction of the Sensor Pattern Noise. The two identification processes are performed on the same picture leading to a system with a good trade-off between ease of use and accuracy. The approach is tested on MICHE, a database composed by iris images captured with different mobile devices in unconstrained acquisition conditions.

Document Doi Bibtex

Titre:Multimodal authentication on Smartphones: combining iris and sensor recognition for a double check of user identity
Mots Clés:Sensor recognition; Iris recognition; Multimodal system; Smartphone; Sensor interoperability; MICHE
Type:Journal
Langue:English
Ville:
Date:
Département:Sécurité numérique
Eurecom ref:4713
Copyright: © Elsevier. Personal use of this material is permitted. The definitive version of this paper was published in Pattern Recognition Letters, Elsevier, September 2015, ISSN: 0167-8655 and is available at : http://dx.doi.org/10.1016/j.patrec.2015.09.009
Bibtex: @article{EURECOM+4713, doi = {http://dx.doi.org/10.1016/j.patrec.2015.09.009}, year = {2015}, month = {09}, title = {{M}ultimodal authentication on {S}martphones: combining iris and sensor recognition for a double check of user identity}, author = {{G}aldi, {C}hiara and {N}appi, {M}ichele and {D}ugelay, {J}ean-{L}uc}, journal = {{P}attern {R}ecognition {L}etters, {E}lsevier, {S}eptember 2015, {ISSN}: 0167-8655 }, url = {http://www.eurecom.fr/publication/4713} }
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