Face recognition using PCA

The purpose of this final year research project is to create a computer system to classify and recognize the known and unknown faces by using computer vision and image processing. This project was developed based on Principal Component Analysis (PCA) technique. The programming platform is using C# t...

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Main Author: Luo, Xuan
Other Authors: Chua Chin Seng
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77690
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-776902023-07-07T16:59:44Z Face recognition using PCA Luo, Xuan Chua Chin Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering The purpose of this final year research project is to create a computer system to classify and recognize the known and unknown faces by using computer vision and image processing. This project was developed based on Principal Component Analysis (PCA) technique. The programming platform is using C# to build up a graphic user interface which is the simplest way for the user to make a modification on the program. This report will cover the concept of face detecting and recognition while going into the detail of the project implementation steps and the test result of various factors that cause accuracy loss during face recognition Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-04T03:57:39Z 2019-06-04T03:57:39Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77690 en Nanyang Technological University 44 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Luo, Xuan
Face recognition using PCA
description The purpose of this final year research project is to create a computer system to classify and recognize the known and unknown faces by using computer vision and image processing. This project was developed based on Principal Component Analysis (PCA) technique. The programming platform is using C# to build up a graphic user interface which is the simplest way for the user to make a modification on the program. This report will cover the concept of face detecting and recognition while going into the detail of the project implementation steps and the test result of various factors that cause accuracy loss during face recognition
author2 Chua Chin Seng
author_facet Chua Chin Seng
Luo, Xuan
format Final Year Project
author Luo, Xuan
author_sort Luo, Xuan
title Face recognition using PCA
title_short Face recognition using PCA
title_full Face recognition using PCA
title_fullStr Face recognition using PCA
title_full_unstemmed Face recognition using PCA
title_sort face recognition using pca
publishDate 2019
url http://hdl.handle.net/10356/77690
_version_ 1772828130591899648