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Export Reference (APA) 
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. https://doi.org/10.1049/iet-cvi.2011.0095
Export Reference (IEEE) 
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
Export BibTeX 
@article{ramalho2012_1792692350742,
	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"
}
Export RIS 
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  -