Entrance Security System via Face Recognition Technique (Face Training Module and MATLAB Prototyping)

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dc.contributor.author Saba Riaz
dc.date.accessioned 2022-10-14T04:24:49Z
dc.date.available 2022-10-14T04:24:49Z
dc.date.issued 2004
dc.identifier.uri http://hdl.handle.net/123456789/13663
dc.description Supervised by Ms. Saima Jawad en_US
dc.description.abstract Identity verification systems are an important part of every day life. Traditional identification systems that involve the use of passwords or cards have chances of lost or stolen. Thus new verification methods have emerged, where the password has either been replaced by, or used in addition to, biometrics such as the person's speech, face image or fingerprints. This project 1s based on the face recognition system for security purposes. Face recognition is a new and emerging field that takes special attention of researchers from all over the world. Results of face recognition systems are highly affected by certain factors like illumination, image capturing, and many more. However, best achievable algorithms and implementation tools have been selected for maximum possible results. The most efficient algorithm that is Principal Component Analysis mostly used all over the world was selected for implementation. Besides this, latest tool for implementation that is C# is used in order to achieve maximum robustness in results. en_US
dc.language.iso en en_US
dc.publisher Computer Sciences en_US
dc.relation.ispartofseries MS(CS);T-0431
dc.subject Entrance Security System en_US
dc.subject Face Recognition Technique en_US
dc.subject Face Training Module en_US
dc.title Entrance Security System via Face Recognition Technique (Face Training Module and MATLAB Prototyping) en_US
dc.type Thesis en_US


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