Gender recognition from face images

Face detection is a computer technology that concerns with finding if there are any faces in a given image (usually in gray scale) and returning the image location and content of each face if any. This is the first step of any fully automatic system that analyzes the information contained in faces....

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Main Author: Wong, Kah Wai.
Other Authors: Sung, Eric
Format: Final Year Project
Language:English
Published: 2011
Subjects:
Online Access:http://hdl.handle.net/10356/42863
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-428632023-07-07T16:00:41Z Gender recognition from face images Wong, Kah Wai. Sung, Eric School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics Face detection is a computer technology that concerns with finding if there are any faces in a given image (usually in gray scale) and returning the image location and content of each face if any. This is the first step of any fully automatic system that analyzes the information contained in faces. While earlier work dealt mainly with upright frontal faces, several systems have been developed that are able to detect faces fairly accurately with in-plane or out-of-plane rotations in real time. Face detection technology can also be used for other purposes such as gender recognition. This report aims to discuss on the use of face detection technology in the implementation of a gender recognition program as well as the process of how the face detection technology can be modified into that of a gender recognition program that determines the gender from frontal face images. This report will cover the background of face detection, the purpose and scope of this project, the literature review of the face detection framework, the process of carrying out the project and its results. Bachelor of Engineering 2011-01-24T07:33:58Z 2011-01-24T07:33:58Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/42863 en Nanyang Technological University 55 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::Electronic systems::Biometrics
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Biometrics
Wong, Kah Wai.
Gender recognition from face images
description Face detection is a computer technology that concerns with finding if there are any faces in a given image (usually in gray scale) and returning the image location and content of each face if any. This is the first step of any fully automatic system that analyzes the information contained in faces. While earlier work dealt mainly with upright frontal faces, several systems have been developed that are able to detect faces fairly accurately with in-plane or out-of-plane rotations in real time. Face detection technology can also be used for other purposes such as gender recognition. This report aims to discuss on the use of face detection technology in the implementation of a gender recognition program as well as the process of how the face detection technology can be modified into that of a gender recognition program that determines the gender from frontal face images. This report will cover the background of face detection, the purpose and scope of this project, the literature review of the face detection framework, the process of carrying out the project and its results.
author2 Sung, Eric
author_facet Sung, Eric
Wong, Kah Wai.
format Final Year Project
author Wong, Kah Wai.
author_sort Wong, Kah Wai.
title Gender recognition from face images
title_short Gender recognition from face images
title_full Gender recognition from face images
title_fullStr Gender recognition from face images
title_full_unstemmed Gender recognition from face images
title_sort gender recognition from face images
publishDate 2011
url http://hdl.handle.net/10356/42863
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