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Ramalho, M. B., Correia, P. L. & Soares, L. D. (2012). Hand-based multimodal identification system with secure biometric template storage. IET Computer Vision. 6 (3), 165-173
M. Ramalho et al., "Hand-based multimodal identification system with secure biometric template storage", in IET Computer Vision, vol. 6, no. 3, pp. 165-173, 2012
@article{ramalho2012_1728235143372, author = "Ramalho, M. B. and Correia, P. L. and Soares, L. D.", title = "Hand-based multimodal identification system with secure biometric template storage", journal = "IET Computer Vision", year = "2012", volume = "6", number = "3", doi = "10.1049/iet-cvi.2011.0095", pages = "165-173", url = "http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6203015" }
TY - JOUR TI - Hand-based multimodal identification system with secure biometric template storage T2 - IET Computer Vision VL - 6 IS - 3 AU - Ramalho, M. B. AU - Correia, P. L. AU - Soares, L. D. PY - 2012 SP - 165-173 SN - 1751-9632 DO - 10.1049/iet-cvi.2011.0095 UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6203015 AB - This study proposes a biometric system for personal identification based on three biometric characteristics from the hand, namely: the palmprint, finger surfaces and hand geometry. A protection scheme is applied to the biometric template data to guarantee its revocability, security and diversity among different biometric systems. An error-correcting code (ECC), a cryptographic hash function (CHF) and a binarisation module are the core of the template protection scheme. Since the ECC and CHF operate on binary data, an additional feature binarisation step is required. This study proposes: (i) a novel identification architecture that uses hand geometry as a soft biometric to accelerate the identification process and ensure the system's scalability; and (ii) a new feature binarisation technique that guarantees that the Hamming distance between transformed binary features is proportional to the difference between their real values. The proposed system achieves promising recognition and speed performances on two publicly available hand image databases. ER -