KLASIFIKASI PENAMPILAN WAJAH PADA RATA-RATA WANITA ACEH MENGGUNAKAN METODE TEMPLATE MATCHING DAN HAMMING DISTANCE
DOI:
https://doi.org/10.29103/techsi.v7i2.197Abstract
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".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.
Downloads
Published
Issue
Section
License
Authors retain copyright and grant the journal right of first publication and this work is licensed under a Creative Commons Attribution-ShareAlike 4.0 that allows others to share the work with an acknowledgement of the works authorship and initial publication in this journal.
All articles in this journal may be disseminated by listing valid sources and the title of the article should not be omitted. The content of the article is liable to the author.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
In the dissemination of articles by the author must declare the TECHSI Journal as the first party to publish the article.
