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Most fingerprint recognition systems use minutiae information, which is an unordered collection of minutiae locations and orientations. Template protection algorithms such as fuzzy commitment and other modern cryptographic alternatives based on homomorphic encryption require a fixed size binary template. However, such a template is not directly applicable to fingerprint minutiae representation which by its nature is of variable size. In this study, we introduce a novel method to represent adoi:10.1109/cvprw.2016.34 dblp:conf/cvpr/TopcuIE16 fatcat:tg73s67lyjaldbrdgeq2ohazkm