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                <identifier>ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai:1:5414</identifier>
                <datestamp>2017-07-13T09:49:59Z</datestamp>
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                    <dim:field mdschema="dc" element="title" lang="en">Application of Biometrics in Automotive Industry - Case Study Based on Iris Recognition</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/1/5414</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="uri">http://sinteza.singidunum.ac.rs/</dim:field>
                    <dim:field mdschema="dc" element="contributor" qualifier="author" authority="id:19940" confidence="-1">E. Ćatović</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="description" qualifier="abstract">Biometrics is used for unique identification of individuals. The identification
can be done in two ways depending on the input, unique biological features
or behavioral characteristics. Iris recognition is a method of biometric identification
which is based on pattern recognition techniques. It provides high
level of security and reliability, which makes it suitable for application in
many areas. This method is intended to be used in one-to- many searching
environment with stability as its main characteristics. The iris recognition
method is based on high resolution images of the iris. It uses camera and
IR illumination in order to eliminate or reduce reflection from the convex
cornea and to obtain detailed rich images of very complex structure of the
iris. Then, the images are converted into digital templates and stored in the
biometric system database for future matching. In some cases, the efficiency
of the iris recognition may be disrupted by eyeglasses or contact lenses, which
can result in mismatching of the sample and the stored template. This paper
deals with the implementation of the iris method in automotive industry in
the area of safety and security.</dim:field>
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                    <dim:field mdschema="dc" element="citation" qualifier="spage">44</dim:field>
                    <dim:field mdschema="dc" element="citation" qualifier="epage">49</dim:field>
                    <dim:field mdschema="dc" element="identifier" qualifier="doi">10.15308/Sinteza-2017-44-49</dim:field>
                    <dim:field mdschema="dc" element="source">Sinteza 2017 - International Scientific Conference on Information Technology and Data Related Research</dim:field>
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