Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/4008
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dc.contributor.advisorInaty, Elieen_US
dc.contributor.authorNashar, Karla Alen_US
dc.date.accessioned2020-12-23T14:39:47Z-
dc.date.available2020-12-23T14:39:47Z-
dc.date.issued2018-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/4008-
dc.descriptionIncludes bibliographical references (p. 46-51).en_US
dc.description.abstractIn today’s applications, the increasing need for high security is an essential reason behind searching for new methods in order to increase protection in the systems used. Biometrics presents a solution to increase authentication in the electronic devices like tablets and cell phones. The iris is one of the biometrics that could be used for such a target. The iris pattern uniqueness for each individual gives it an advantage over other ways of protection previously used like passwords. The work in this thesis will mainly focuses on how to recognize a person based on his iris pattern using a technique called Edge Based Corner Detector (EBCD). This technique consists of detecting the edges in the iris pattern and extracting the interest points called “corners”. The matching is based on a comparison of corners in two iris patterns based on the two characteristics specifying a corner which are the length ratio and the angle. In the following, there will be a detailed description about the EBCD technique and how it could be used in an iris recognition system. The steps followed goes from acquiring eye images, segmenting irises, applying the EBCD to reach the last step which is the matching and making the decision. To get a better performance, we added what we called preferred corners which will be explained through this report. These new features can replace the pigments and crypts that are difficult to detect. In the following, the overall algorithm and the performance of the two trials (before and after adding the preferred corners) are presented in this thesis.en_US
dc.description.statementofresponsibilityby Karla Al Nasharen_US
dc.format.extentix, 51 p. : ill., tablesen_US
dc.language.isoengen_US
dc.rightsThis object is protected by copyright, and is made available here for research and educational purposes. Permission to reuse, publish, or reproduce the object beyond the personal and educational use exceptions must be obtained from the copyright holderen_US
dc.subject.lcshBiometric identificationen_US
dc.subject.lcshDissertations, Academicen_US
dc.subject.lcshUniversity of Balamand--Dissertationsen_US
dc.titleInvestigating edges and corners detection for biometric recognition : iris detectionen_US
dc.typeThesisen_US
dc.contributor.corporateUniversity of Balamanden_US
dc.contributor.departmentDepartment of Computer Engineeringen_US
dc.contributor.facultyFaculty of Engineeringen_US
dc.contributor.institutionUniversity of Balamanden_US
dc.description.degreeMS in Computer Engineeringen_US
dc.description.statusPublisheden_US
dc.identifier.ezproxyURLhttp://ezsecureaccess.balamand.edu.lb/login?url=http://olib.balamand.edu.lb/projects_and_theses/177902.pdfen_US
dc.identifier.OlibID177902-
dc.relation.ispartofbookseriesUniversity of Balamand. Thesisen_US
dc.provenance.recordsourceOliben_US
Appears in Collections:UOB Theses and Projects
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