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Andreas A. Febrianto
Department of Electronic & Computer Engineering, Satya Wacana Christian University, Jl. Diponegoro 52 – 60, Salatiga, Indonesia
Computer Science & IT

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Frontal Face Detection using Haar Wavelet Coefficients and Local Histogram Correlation Iwan Setyawan; Ivanna K. Timotius; Andreas A. Febrianto
Journal of ICT Research and Applications Vol. 5 No. 3 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.3.1

Abstract

Face detection is the main building block on which all automatic systems dealing with human faces is built. For example, a face recognition system must rely on face detection to process an input image and determine which areas contain human faces. These areas then become the input for the face recognition system for further processing. This paper presents a face detection system designed to detect frontal faces. The system uses Haar wavelet coefficients and local histogram correlation as differentiating features. Our proposed system is trained using 100 training images. Our experiments show that the proposed system performed well during testing, achieving a detection rate of 91.5%.
Co-Authors Ivanna Kristianti Timotius Iwan Setyawan