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Face localization for facial features extraction using a symmetrical filter and linear Hough transform

In this paper, face localization for facial feature extraction is presented. The method consists of three steps: (1) facial features enhancement using symmetrical filter, and then the morphological process is applied to examine the edge, peaks, and valley fields; (2) line construction using linear H...

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Main Authors: Arof, Hamzah, Ahmad, Fauzan, Shah, Noraisyah Mohamed
Format: Article
Published: Springer 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.um.edu.my/25627/
https://doi.org/10.1007/s10015-007-0459-3
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spelling my.um.eprints.256272020-12-10T04:17:45Z http://eprints.um.edu.my/25627/ Face localization for facial features extraction using a symmetrical filter and linear Hough transform Arof, Hamzah Ahmad, Fauzan Shah, Noraisyah Mohamed TK Electrical engineering. Electronics Nuclear engineering In this paper, face localization for facial feature extraction is presented. The method consists of three steps: (1) facial features enhancement using symmetrical filter, and then the morphological process is applied to examine the edge, peaks, and valley fields; (2) line construction using linear Hough transform; (3) localization of the face region based on the constructed lines and the elimination of excess areas outside the face boundary. © 2008 International Symposium on Artificial Life and Robotics (ISAROB). Springer 2008 Article PeerReviewed Arof, Hamzah and Ahmad, Fauzan and Shah, Noraisyah Mohamed (2008) Face localization for facial features extraction using a symmetrical filter and linear Hough transform. Artificial Life and Robotics, 12 (1-2). pp. 157-160. ISSN 1433-5298 https://doi.org/10.1007/s10015-007-0459-3 doi:10.1007/s10015-007-0459-3
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Arof, Hamzah
Ahmad, Fauzan
Shah, Noraisyah Mohamed
Face localization for facial features extraction using a symmetrical filter and linear Hough transform
description In this paper, face localization for facial feature extraction is presented. The method consists of three steps: (1) facial features enhancement using symmetrical filter, and then the morphological process is applied to examine the edge, peaks, and valley fields; (2) line construction using linear Hough transform; (3) localization of the face region based on the constructed lines and the elimination of excess areas outside the face boundary. © 2008 International Symposium on Artificial Life and Robotics (ISAROB).
format Article
author Arof, Hamzah
Ahmad, Fauzan
Shah, Noraisyah Mohamed
author_facet Arof, Hamzah
Ahmad, Fauzan
Shah, Noraisyah Mohamed
author_sort Arof, Hamzah
title Face localization for facial features extraction using a symmetrical filter and linear Hough transform
title_short Face localization for facial features extraction using a symmetrical filter and linear Hough transform
title_full Face localization for facial features extraction using a symmetrical filter and linear Hough transform
title_fullStr Face localization for facial features extraction using a symmetrical filter and linear Hough transform
title_full_unstemmed Face localization for facial features extraction using a symmetrical filter and linear Hough transform
title_sort face localization for facial features extraction using a symmetrical filter and linear hough transform
publisher Springer
publishDate 2008
url http://eprints.um.edu.my/25627/
https://doi.org/10.1007/s10015-007-0459-3
_version_ 1687394108214083584
score 13.159267

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