DOI : https://doi.org/10.18517/ijaseit.2.1.164

Neural Network-based Face Pose Tracking for Interactive Face Recognition System

Balza Achmad (1), Kartika Firdausy (2)
(1) Department of Engineering Physics, Universitas Gadjah Mada
(2) Department of Electrical Engineering, Universitas Ahmad Dahlan
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How to cite (IJASEIT) :
Achmad, Balza, and Kartika Firdausy. “Neural Network-Based Face Pose Tracking for Interactive Face Recognition System”. International Journal on Advanced Science, Engineering and Information Technology, vol. 2, no. 1, Feb. 2012, pp. 105-8, doi:10.18517/ijaseit.2.1.164.
Citation Format :
Security system has long been a very important aspect in almost every field. Technology advancement has made biometric systems applicable to provide higher level of security. Face recognition is one of the popular biometric modalities. An interactive face recognition system has been developed to increase the yield of the face recognition yet still uses a simple recognition algorithm. The system provides responses to the user in order to obtain a frontal face image. A neural-based face pose estimation is proposed to generate the proper response based on the captured face image. The overall accuracy of the pose recognition is 95.6%.

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