IDENTIFIKASI WAJAH PADA SISTEM KEAMANAN BRANKAS MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS

Ardiansyah, Dadang and Satriyanto, Edi and Puspita, Eru and Iman, Budi Nur (2011) IDENTIFIKASI WAJAH PADA SISTEM KEAMANAN BRANKAS MENGGUNAKAN PRINCIPAL COMPONENT ANALYSIS. EEPIS Final Project.

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Abstract

Security becomes an inevitable requirement for users that require privacy. Is a distinguishing feature of biometric identity personally owned and have unique or special characteristics. Biometric characteristic can be used as a pointer of one's identity, especially the face. Facial recognition algorithms for computer-vision has been developed and widely applied. Principles component analysis has been shown to efficiently represent the state of human faces. In this final PCA method was applied as a method of face recognition to verify the user's control in a safe. From the activities carried out showed that the PCA as a method of face recognition for access control safes, properly used in environments with relatively fixed lighting conditions or no change with accuracy up to 79%. This method is still vulnerable to changes in lighting conditions so that the lighting environment in which the system operates need to be kept constant. Pose changes did not significantly affect the accuracy of face recognition with PCA method. As an access control method of PCA should be supported by setting the room lighting was kept constant. Keyword: PCA, Face Recognition.

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