Biometric based Fingerprint and Face Recognition Security Gates

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dc.contributor.author Akram, Karim
dc.contributor.author Hany Nassar, Omar
dc.date.accessioned 2022-07-25T10:51:49Z
dc.date.available 2022-07-25T10:51:49Z
dc.date.issued 2022
dc.identifier.citation Faculty Of Engineering Graduation Project 2020- 2022 en_US
dc.identifier.uri http://repository.msa.edu.eg/xmlui/handle/123456789/5028
dc.description.abstract An automatic personal identification system based solely on fingerprints or faces is often not able to meet the system performance requirements. Face recognition is fast but not extremely reliable, while fingerprint verification is reliable but inefficient in database retrieval. A developed prototype biometric system which integrates faces and fingerprints is a promising solution. The system overcomes the limitations of face recognition systems as well as fingerprint verification systems. The integrated prototype system operates in the identification mode with an admissible response time. The identity established by the system is more reliable than the identity established by a face recognition system. In addition, the proposed decision fusion scheme enables performance improvement by integrating multiple cues with different confidence measures. Experimental results demonstrate that the system performs very efficiently as it meets the response time as well as the accuracy requirements. Keywords: Fingerprints, Security gates, Face recognition, Personal identification en_US
dc.description.sponsorship Dr. Waleed Elnahal en_US
dc.language.iso en_US en_US
dc.publisher MSA en_US
dc.relation.ispartofseries Faculty Of Engineering Graduation Project 2020- 2022;
dc.subject university of modern sciences and arts en_US
dc.subject MSA university en_US
dc.subject October university for modern sciences and arts en_US
dc.subject جامعة أكتوبر للعلوم الحديثة و الأداب en_US
dc.subject RFID and EM Security System in secured places en_US
dc.subject Biometric Security System en_US
dc.title Biometric based Fingerprint and Face Recognition Security Gates en_US
dc.type Other en_US


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