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All Journal Teknik dan Ilmu Komputer Journal of ICT Research and Applications Techne : Jurnal Ilmiah Elektroteknika Jurnal Pengabdian kepada Masyarakat Nusantara Makara Journal of Technology Jurnal Ilmiah Sains
Ivanna Kristianti Timotius
Universitas Kristen Satya Wacana
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences

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Journal : Journal of ICT Research and Applications

 1 
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%.
Performance Comparison of Several Pre-Processing Methods in a Hand Gesture Recognition System based on Nearest Neighbor for Different Background Conditions Regina Lionnie; Ivanna K. Timotius; Iwan Setyawan
Journal of ICT Research and Applications Vol. 6 No. 3 (2012)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2012.6.3.1

Abstract

This paper presents a performance analysis and comparison of several pre-processing  methods  used  in  a  hand  gesture  recognition  system.  The  preprocessing methods are based on the combinations ofseveral image processing operations,  namely  edge  detection,  low  pass  filtering,  histogram  equalization, thresholding and desaturation. The hand gesture recognition system is designed to classify an input image into one of six possibleclasses. The input images are taken with various background conditions. Our experiments showed that the best result is achieved when the pre-processing method consists of only a desaturation operation, achieving a classification accuracy of up to 83.15%.
Co-Authors Aaron Berliano Handoko Adhi Prayogo Andreas A. Febrianto Andreas Ardian Febrianto Andreas Febrianto, Andreas Ardilla Ayu Dewanti Ridwan Daniel D Kameo Danny Manongga Darmawan Utomo Deny Christian Eduard Royce Efraim Anggriyono Eva Yovita Dwi Utami Hanny Hafiar Hendry Iwan Setyawan Jevan Farica Kevin Ananta Lasso, Aldi Maria Enggar Santika Regina Lionnie Revivo Onix Setyawan Theopillus J. H. Wellem Weku, Winsy C.D Yessica Nataliani