Journal of ICT Research and Applications
Vol. 5 No. 3 (2011)

Frontal Face Detection using Haar Wavelet Coefficients and Local Histogram Correlation

Iwan Setyawan (Department of Electronic & Computer Engineering, Satya Wacana Christian University, Jl. Diponegoro 52 – 60, Salatiga, Indonesia)
Ivanna K. Timotius (Department of Electronic & Computer Engineering, Satya Wacana Christian University, Jl. Diponegoro 52 – 60, Salatiga, Indonesia)
Andreas A. Febrianto (Department of Electronic & Computer Engineering, Satya Wacana Christian University, Jl. Diponegoro 52 – 60, Salatiga, Indonesia)

Article Info

Publish Date
13 Sep 2013

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%.

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Journal Info
Journal of ICT Research and Applications
Website

Abbrev

jictra

Publisher

Institut Teknologi Bandung

Subject

Computer Science & IT

Description

Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet ...