Frontal View Face Detection on Color Image Processing using Template Matching Method
Author(s) -
Nur Agung,
Ina Helena Agustina,
Fauziah Nasir
Publication year - 2018
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2018916880
Subject(s) - computer science , template matching , computer vision , artificial intelligence , face (sociological concept) , matching (statistics) , face detection , image processing , pattern recognition (psychology) , image (mathematics) , facial recognition system , medicine , social science , sociology , pathology
In The determination of face area has got high development over the last decade and its application is in all fields, such as in an investigation. The scientific research about the determination of face area has been conducted until now. Although it is very easy to be identified by human eyes, but the automation of computer processing needs various image processing techniques. The method used in this study is template matching. Template matching is one of techniques in image processing which function is to fit each part of image and the image which is a template. This study aims to make a program to detect human face of image result which will be fitted to the original one using template this study, the writer uses a software, namely Open Computer Vision 3 (OpenCV3) to process an image and uses Python 3 (programming language). The result of this study is from 30 color images data processed, the application is able to identify 30 images and the level of accuracy is 100 %. General Terms Face Detection using Template Matching Method.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom