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Conference Paper: A face authentication system for mobile devices: Optimization techniques

TitleA face authentication system for mobile devices: Optimization techniques
Authors
KeywordsFace Recognition
Fixed-Point Arithmetic
Mobile Devices
Optimization
User Authentication
Issue Date2005
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 2005, v. 5684, p. 265-273 How to Cite?
AbstractThis paper presents an experimental study of the implementation of a face authentication system for mobile devices. Our system is based on a widely adopted face recognition technique called Principal Component Analysis (PCA). The execution time of the baseline system on a PDA is unacceptably slow - a typical authentication session takes more than 30 seconds. To make real-time face authentication possible on mobile devices, optimization is needed. In our study, extensive profiling is done to pinpoint the execution hotspots in the system. Based on the profiling results, our optimization strategy focused on replacing the large amount of slow floating point calculations with their fixed-point versions. Range estimation is also carried out to determine the range of floating point values that must be accommodated by the final, fixed-point version of our system. Compared with the baseline system, experimental results indicate that our optimized system runs as much as 47 times faster for PCA projection. Using the optimized system, a complete authentication session takes only 5 seconds. Real time face authentication for mobile device is achieved with no significant loss in recognition accuracy. © 2005 SPIE and IS&T.
Persistent Identifierhttp://hdl.handle.net/10722/151859
ISSN
2023 SCImago Journal Rankings: 0.152
References

 

DC FieldValueLanguage
dc.contributor.authorPun, KHen_US
dc.contributor.authorMoon, YSen_US
dc.contributor.authorChen, JSen_US
dc.contributor.authorYeung, HWen_US
dc.date.accessioned2012-06-26T06:30:09Z-
dc.date.available2012-06-26T06:30:09Z-
dc.date.issued2005en_US
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2005, v. 5684, p. 265-273en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/151859-
dc.description.abstractThis paper presents an experimental study of the implementation of a face authentication system for mobile devices. Our system is based on a widely adopted face recognition technique called Principal Component Analysis (PCA). The execution time of the baseline system on a PDA is unacceptably slow - a typical authentication session takes more than 30 seconds. To make real-time face authentication possible on mobile devices, optimization is needed. In our study, extensive profiling is done to pinpoint the execution hotspots in the system. Based on the profiling results, our optimization strategy focused on replacing the large amount of slow floating point calculations with their fixed-point versions. Range estimation is also carried out to determine the range of floating point values that must be accommodated by the final, fixed-point version of our system. Compared with the baseline system, experimental results indicate that our optimized system runs as much as 47 times faster for PCA projection. Using the optimized system, a complete authentication session takes only 5 seconds. Real time face authentication for mobile device is achieved with no significant loss in recognition accuracy. © 2005 SPIE and IS&T.en_US
dc.languageengen_US
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_US
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.subjectFace Recognitionen_US
dc.subjectFixed-Point Arithmeticen_US
dc.subjectMobile Devicesen_US
dc.subjectOptimizationen_US
dc.subjectUser Authenticationen_US
dc.titleA face authentication system for mobile devices: Optimization techniquesen_US
dc.typeConference_Paperen_US
dc.identifier.emailPun, KH:pun@cs.hku.hken_US
dc.identifier.authorityPun, KH=rp00164en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1117/12.586101en_US
dc.identifier.scopuseid_2-s2.0-21844439526en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-21844439526&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume5684en_US
dc.identifier.spage265en_US
dc.identifier.epage273en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridPun, KH=8979404900en_US
dc.identifier.scopusauthoridMoon, YS=7203054992en_US
dc.identifier.scopusauthoridChen, JS=8071862900en_US
dc.identifier.scopusauthoridYeung, HW=7102212149en_US
dc.identifier.issnl0277-786X-

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