Multi-biometric template protection on smartphones: An approach based on binarized statistical features and bloom filters

Martin Stokkenes*, Raghavendra Ramachandra, Kiran B. Raja, Morten Sigaard, Marta Gomez-Barrero, Christoph Busch

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Widespread use of biometric systems on smartphones raises the need to evaluate the feasibility of protecting biometric templates stored on such devices to preserve privacy. To this extent, we propose a method for securing multiple biometric templates on smartphones, applying the concepts of Bloom filters along with binarized statistical image features descriptor. The proposed multi-biometric template system is first evaluated on a dataset of 94 subjects captured with Samsung S5 and then tested in a real-life access control scenario. The recognition performance of the protected system based on the facial characteristic and the two periocular regions is observed equally good as the baseline performance of unprotected biometric system. The observed Genuine- Match-Rate (GMR) of 91.61% at a False-Match-Rate (FMR) of 0.01% indicates the robustness and applicability of the proposed system in everyday authentication scenario. The reliability of the system is further tested by engaging disjoint subset of users, who were tasked to use the proposed system in their daily activities for a number of days. Obtained results indicate the robustness of the proposed system to preserve user privacy while not compromising the inherent authentication accuracy without protected templates.

Original languageEnglish
Title of host publicationProgress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 21st Iberoamerican Congress, CIARP 2016, Proceedings
Number of pages8
Volume10125 LNCS
PublisherSpringer Verlag
Publication date2017
ISBN (Print)9783319522760
Publication statusPublished - 2017
Externally publishedYes
Event21st Iberoamerican Congress on Pattern Recognition, CIARP 2016 - Lima, Peru
Duration: 8 Nov 201611 Nov 2016


Conference21st Iberoamerican Congress on Pattern Recognition, CIARP 2016
City Lima
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10125 LNCS

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