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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.0//EN" "http://www.ncbi.nlm.nih.gov:80/entrez/query/static/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>Science and Education Publishing</PublisherName>
<JournalTitle>American Journal of Electrical and Electronic Engineering</JournalTitle>
<Issn>2328-7357</Issn>
<Volume>1</Volume>
<Issue>3</Issue>
<PubDate PubStatus="epublish">
<Year>2013</Year>
<Month>11</Month>
<Day>14</Day>
</PubDate>
</Journal>
<ArticleTitle>Face Recognition Using Line Edge Mapping Approach</ArticleTitle>
<FirstPage>52</FirstPage>
<LastPage>59</LastPage>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Ibikunle</FirstName>
<LastName>F</LastName>
</Author>
<Author>
<FirstName>Agbetuyi</FirstName>
<LastName>F.</LastName>
</Author>
<Author>
<FirstName>Ukpere</FirstName>
<LastName>G</LastName>
<Affiliation>Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria</Affiliation>
</Author>

</AuthorList>
<ArticleIdList>
<ArticleId IdType="pii">AJEEE2013134</ArticleId>
<ArticleId IdType="doi">10.12691/ajeee-1-3-4</ArticleId>
</ArticleIdList>
<History>
<PubDate PubStatus="received">
<Year>2013</Year>
<Month>08</Month>
<Day>03</Day>
</PubDate>
<PubDate PubStatus="revised">
<Year>2013</Year>
<Month>11</Month>
<Day>02</Day>
</PubDate>
<PubDate PubStatus="accepted">
<Year>2013</Year>
<Month>11</Month>
<Day>14</Day>
</PubDate>
</History>
<Abstract>The research is based on development of an authentication system. Similar to these is the facial features authentication method which is a very new and unpopular method of authentication. The method is very unique with its operation as it doesn’t require contact between the individual and the authentication device. The palm and retinal scanners have motivated the invention of the authentication system. Retinal scanners are contactless authentication methods which scans the venation in the retinal of the individual which is of course unique to human beings. The technology employed in this work uses picture frames from videos, detects facial features, and or matches the face to the respective individual’s face features in the database. Authentication systems are used to identify or verify an individual as well as to distinguish the individual so far identified. This work develops an authentication system that operates with similar accuracy and speed of the human identification.</Abstract>
</Article>
</ArticleSet>
