Pengenalan Wajah dengan Citra Pelatihan Tunggal Menggunakan Algoritme VFI5 Berbasis Histogram

Abstract

Face recognition is one of the biometric methods which is frequently used. One of the approach in face recognition is view based (photometric) approach which represents the information of the image pixels. In this research, information from the image pixels represented using the image histogram. According to Gonzales (2002), histogram are the basis for numerous spatial domain processing techniques. Histogram is used as input to Voting Feature Intervals 5 (VFI5) algorithm. Range of image histogram is 0-255 divided into several intervals. Afterwards, on training stage will be determined the vote value from single training image per person that will be used in the classification stage. The recognition rate is reached 96.3%.