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Recent survey on face biometric classification success rates

International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.

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Bibliographic Details
Main Authors: Wan Syahirah, Wan Samsudin, Sundaraj, Kenneth, Assoc. Prof. Dr.
Other Authors: wansyahirahwsamsudin@yahoo.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Face biometrics
Face recogniton
Recognition rate
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/20505
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spelling my.unimap-205052012-07-19T14:55:48Z Recent survey on face biometric classification success rates Wan Syahirah, Wan Samsudin Sundaraj, Kenneth, Assoc. Prof. Dr. wansyahirahwsamsudin@yahoo.com Face biometrics Face recogniton Recognition rate International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia. Biometric system is a system for the automated recognition of individuals based on their behavioral or biological characteristics. Biometrics are evolving drastically especially nowadays whereby there are many types of biometrics, which includes fingerprint or face pattern, and/or some aspect of behavior, such as the spoken voice, handwriting, or keystroke patterns. From all those biometric system stated the face biometric system is the most users friendly and most nonintrusive. In face biometrics, there are two types, which are in two dimensional and three dimensional recognitions. The 2D typed biometrics system is widely used, but for 3D typed biometrics is not very common but it offers more benefits than 2D. The limitation of 3D research is resulting from only few databases can be found for 3D biometrics system. The classification techniques and their success rate also been discussed in both 2D and 3D face recognition. More future work will be developed to improve the face recognition system especially in 3D recognition. This paper has discussed more on 3D face recognition which promises better future in biometrics. 2012-07-19T14:55:48Z 2012-07-19T14:55:48Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/20505 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2012) Universiti Malaysia Perlis (UniMAP) School of Mechatronic Engineering
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 biometrics
Face recogniton
Recognition rate
spellingShingle Face biometrics
Face recogniton
Recognition rate
Wan Syahirah, Wan Samsudin
Sundaraj, Kenneth, Assoc. Prof. Dr.
Recent survey on face biometric classification success rates
description International Conference on Man Machine Systems (ICoMMS 2012) organized by School of Mechatronic Engineering, co-organized by The Institute of Engineer, Malaysia (IEM) and Society of Engineering Education Malaysia, 27th - 28th February 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 wansyahirahwsamsudin@yahoo.com
author_facet wansyahirahwsamsudin@yahoo.com
Wan Syahirah, Wan Samsudin
Sundaraj, Kenneth, Assoc. Prof. Dr.
format Working Paper
author Wan Syahirah, Wan Samsudin
Sundaraj, Kenneth, Assoc. Prof. Dr.
author_sort Wan Syahirah, Wan Samsudin
title Recent survey on face biometric classification success rates
title_short Recent survey on face biometric classification success rates
title_full Recent survey on face biometric classification success rates
title_fullStr Recent survey on face biometric classification success rates
title_full_unstemmed Recent survey on face biometric classification success rates
title_sort recent survey on face biometric classification success rates
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/20505
_version_ 1643793093250514944
score 13.222552

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