KLASIFIKASI PENAMPILAN WAJAH PADA RATA-RATA WANITA ACEH MENGGUNAKAN METODE TEMPLATE MATCHING DAN HAMMING DISTANCE

Deassy Siska, Hayatul Muslima

Abstract


The appearance of the face is very overlooked for most people often talk about and especially the problem of beauty. Beauty itself is a theme that full debate because beauty itself very closely related to of experience situation, or where the state of social attributes the beauty will be defined, in other words that judgment would be pretty or not someone has beautiful very relative to the values agreed on by this community. Research task at this final writer want to make a system of classification the appearance of the face. Classification process appearance this face using method Template Matching and Hamming Distance.In this research video used was in .avi 24 bits, And real-time. The result of this research is to make in some classification systems the appearance of the face with three classifications namely "beauty face and interesting, beautiful faces, and face less interesting".

Full Text:

PDF

References


. Abdullah Dahlan, dkk. 2014. Statistika. Graha Ilmu. Yogyakarta.

. Fadlisyah, dkk. 2011. Pemograman Computer Vision Menggunakan Delphi + Vision Lab VCL 4.0.1. Graha Ilmu. Yogyakarta.

. Fadlisyah.2013.Sistem Pendeteksian Wajah Pada Video Menggunakan Jaringan Adaptive Linear Neuron (ADALINE). Program Magister Teknik Elektro. Universitas Sumatera Utara.

. Gunes Hatice, dkk. 2007. Automated Classification of Female Facial Beauty Using Learning Algorithms. Computer Vision Group-Faculty of Information Technology University of Technology, Sydney (UTS). Australia.

. Gunes Hatice, Massimo Piccardi. 2007. Assessing facial beauty through proportion analysis by image processing and supervised learning. Computer Vision Research Group, Faculty of Information Technology, University of Technology, Sydney (UTS). Australia.

. Mao Huiyun, dkk. 2009. Automatic Classification of Chinese Female Facial Beauty using Support Vector Machine School of Electronic and Information engineering South China University of Technology Guangzhou, P.R. China.

. Putra Darma. 2010. Pengolahan Citra Digital. Penerbit Andi. Yogyakarta.

. T.Sutoyo, dkk. 2009. Teori Pengolahan Citra Digital. Andi. Yogyakarta.




DOI: https://doi.org/10.29103/techsi.v7i2.197

Article Metrics

 Abstract Views : 217 times
 PDF Downloaded : 0 times

Refbacks

  • There are currently no refbacks.




TECHSI Journalindexed by:


Google Scholar Portal Garuda crossref doi




TECHSI Journalis a member of:


Mendeley Zotero



© Copyright of Journal TECHSI, (e-ISSN:2614-6029, p-ISSN:2302-4836).