#TITLE_ALTERNATIVE#

One of the efficient face recognition technique is Eigenface. It involves obtaining principal component (PCA) from a face database. These principal component are representaton of the face set. Any new face image can be represented as a linear combination of these eigenfaces. Face recognition process...

Full description

Saved in:
Bibliographic Details
Main Author: KURNIAWAN (NIM 10203043), CHRISTIAN
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/10132
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:10132
spelling id-itb.:101322017-09-27T11:45:12Z#TITLE_ALTERNATIVE# KURNIAWAN (NIM 10203043), CHRISTIAN Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/10132 One of the efficient face recognition technique is Eigenface. It involves obtaining principal component (PCA) from a face database. These principal component are representaton of the face set. Any new face image can be represented as a linear combination of these eigenfaces. Face recognition process is begin with preparing database with various faces, then followed by making eigenface from those database. Image that will be tested should be normalized first. After that normalized face image will be projected to eigenface. The system will do recognition process based on existing database. It will give decision to that input regarding its euclidian distance. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description One of the efficient face recognition technique is Eigenface. It involves obtaining principal component (PCA) from a face database. These principal component are representaton of the face set. Any new face image can be represented as a linear combination of these eigenfaces. Face recognition process is begin with preparing database with various faces, then followed by making eigenface from those database. Image that will be tested should be normalized first. After that normalized face image will be projected to eigenface. The system will do recognition process based on existing database. It will give decision to that input regarding its euclidian distance.
format Final Project
author KURNIAWAN (NIM 10203043), CHRISTIAN
spellingShingle KURNIAWAN (NIM 10203043), CHRISTIAN
#TITLE_ALTERNATIVE#
author_facet KURNIAWAN (NIM 10203043), CHRISTIAN
author_sort KURNIAWAN (NIM 10203043), CHRISTIAN
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/10132
_version_ 1820664890174472192