Frontal Face Detection using Haar Wavelet Coefficients and Local Histogram Correlation

• Main Authors: Iwan Setyawan, Ivanna K. Timotius, Andreas A. Febrianto
• Format: Article
• Language: English
• Published: ITB Journal Publisher 2013-09-01
• Series: Journal of ICT Research and Applications
• Online Access: http://journals.itb.ac.id/index.php/jictra/article/view/213

<p class="Abstract"><span lang="EN-US">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</span><!--[if supportFields]><span lang=EN-US><span style='mso-element:field-begin'></span> XE &quot;face detection&quot; </span><![endif]--><!--[if supportFields]><span lang=EN-US><span style='mso-element:field-end'></span></span><![endif]--><span lang="EN-US"> 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</span><!--[if supportFields]><span lang=EN-US><span style='mso-element:field-begin'></span> XE &quot;local histogram correlation&quot; </span><![endif]--><!--[if supportFields]><span lang=EN-US><span style='mso-element:field-end'></span></span><![endif]--><span lang="EN-US"> 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%.</span></p>