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Real-time detection of face and iris

Links to publisher's homepage at http://www.wseas.org/

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Main Authors: Chai, Tong Yuen, Mohamed Rizon, Mohamed Juhari, Prof. Dr., Muhammad Shazri
Other Authors: chaity@utar.edu.my
Format: Article
Language:English
Published: World Scientific and Engineering Academy and Society (WSEAS) 2011
Subjects:
Face detection
Iris detection
Illumination normalization
Face recognition
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/14738
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spelling my.unimap-147382011-10-21T02:34:05Z Real-time detection of face and iris Chai, Tong Yuen Mohamed Rizon, Mohamed Juhari, Prof. Dr. Muhammad Shazri chaity@utar.edu.my mjuhari@ksu.edu.my Shazri.Shahri@extolcorp.com Face detection Iris detection Illumination normalization Face recognition Links to publisher's homepage at http://www.wseas.org/ In this study, a computational algorithm has been developed to automatically detect human face and irises from color images captured by real-time camera. Haar cascade-based algorithm has been applied for simple and fast face detection. The face image is then converted into grayscale image. Three types of image processing techniques have been tested respectively to study its effect on the performance of iris detection algorithm. Then, iris candidates are extracted from the valley created at the face region. The iris candidates are paired up and the cost of each possible pairing is computed by a combination of mathematical models. Finally, the positions of the detected irises are used as a reference to refine the face region. The algorithm has been tested by quality images from Logitech camera and noisy images from Voxx CCD camera. The proposed algorithm has achieved 83.60% as the highest success rate of iris detection under a user-friendly and unconstraint office environment. 2011-10-21T02:34:05Z 2011-10-21T02:34:05Z 2009-06 Article Transactions on Signal Processing, vol. 5 (6), 2009, pages 209-218 1790-5022 http://www.wseas.us/e-library/transactions/signal/2009/29-527.pdf http://hdl.handle.net/123456789/14738 en World Scientific and Engineering Academy and Society (WSEAS)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Face detection
Iris detection
Illumination normalization
Face recognition
spellingShingle Face detection
Iris detection
Illumination normalization
Face recognition
Chai, Tong Yuen
Mohamed Rizon, Mohamed Juhari, Prof. Dr.
Muhammad Shazri
Real-time detection of face and iris
description Links to publisher's homepage at http://www.wseas.org/
author2 chaity@utar.edu.my
author_facet chaity@utar.edu.my
Chai, Tong Yuen
Mohamed Rizon, Mohamed Juhari, Prof. Dr.
Muhammad Shazri
format Article
author Chai, Tong Yuen
Mohamed Rizon, Mohamed Juhari, Prof. Dr.
Muhammad Shazri
author_sort Chai, Tong Yuen
title Real-time detection of face and iris
title_short Real-time detection of face and iris
title_full Real-time detection of face and iris
title_fullStr Real-time detection of face and iris
title_full_unstemmed Real-time detection of face and iris
title_sort real-time detection of face and iris
publisher World Scientific and Engineering Academy and Society (WSEAS)
publishDate 2011
url http://dspace.unimap.edu.my/xmlui/handle/123456789/14738
_version_ 1643790806522265600
score 13.222552

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