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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:2:4507</identifier>
                <datestamp>2019-05-22T08:29:40Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Fuzzy Commitment Scheme for Generation of Cryptographic Keys Based on Iris Biometrics</dim:field>
                    <dim:field mdschema="dc" element="date" qualifier="issued">2017</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/4507</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://ietdl.org/t/ytiJs</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0002-2875-685X" confidence="-1">S. Adamović</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="etfid:6" confidence="-1">М. Милосављевић</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-6136-1895" confidence="-1">М. Веиновић</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0001-8241-2778" confidence="-1">М. Шарац</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="orcid::0000-0002-5564-8344" confidence="-1">А. Јевремовић</dim:field>
                    <dim:field mdschema="dc" element="description" qualifier="abstract">This work presents a method based on information-theoretic analysis of iris biometric that aims to extract homogeneous regions of high entropy. Successful extraction of these regions facilitates the development of effective systems for generation of cryptographic keys of lengths up to 400 bits per iris. At the same time, this approach allows for the application of simpler error correction codes with equal False Accept Rate levels, which reduces the overall complexity of this class of systems.</dim:field>
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                    <dim:field mdschema="dc" element="identifier" qualifier="doi">10.1049/iet-bmt.2016.0061</dim:field>
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                    <dim:field mdschema="dc" element="identifier" qualifier="issn">2047-4938</dim:field>
                    <dim:field mdschema="dc" element="source">IET Biometrics</dim:field>
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