SISTEM PENDETEKSIAN WAJAH PADA VIDEO MENGGUNAKAN JARINGAN ADAPTIVE LINEAR NEURON (ADALINE)
Abstract: Face detection is an
important first step to many advanced computer vision, biometrics recognition
and multimedia applications, such as face tracking, face recognition, and video
surveillance. In this paper, a faster face detection system is proposed using
Adaptive Linear Neuron (ADALINE). System is constructed from the enhanced image
by applying sobel operator, and then use the resulted image’s vector to
Widrow-Hoff learning’s scheme. The performance of the proposed method is
evaluated by two performances parameter, detection rate and false positive
rate. The result shows that performance of detection rate is range from 65% to
90%. To enhance the quality of system performance, a combination of either :
video complexity test, skin color segmentation, or statistical test, should be
apllied to future research.
Penulis: Fadlisyah, S.Si.,
M.Kom
Kode Jurnal: jptinformatikadd130139
