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Online face detection and user authentication

Published: 06 November 2005 Publication History

Abstract

The ability to verify automatically and with great accuracy the identity of a person has become crucial in everyday life. Biometrics is an emerging topic in the field of signal processing. Our research on biometrics aims at developing a complete framework useful to control access. This technical demo shows the latest image processing techniques for face detection developed at France Telecom and for face recognition developed at Eurécom. Using only one computer and one standard webcam, our biometric system detects the user face and the recognition algorithm uses this image to enable the access to a resource, a service or a location.

References

[1]
Perronnin, F., Junqua, J. C., and Dugelay, J. L., Biometrics Person Authentication: From Theory to Practice, EURASIP Journal on applied Signal processing, 16 (1): 2--19, Mars 2005.
[2]
Zhao, W., and Chellappa, R., A. Rosenfeld, P. Phillips. Face recognition: A Literature Survey. UMD CAR-TR-948, 2000.
[3]
Garcia, C. and Delakis, M., Convolutional Face Finder: A Neural Architecture for Fast and Robust Face Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(11): 1408--1423, November 2004.
[4]
Perronnin, F., Dugelay, J.L., and Rose, K., A Probabilistic Model of Face Mapping with Local Transformations and Its Application to Person Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(7): 1157--1171, July 2005.

Cited By

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  • (2023)Deep Learning-Based Image Retrieval: Addressing the Semantic Gap for Accurate Content-Based Image Retrieval2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)10.1109/ICCPCT58313.2023.10245342(1512-1517)Online publication date: 10-Aug-2023
  • (2019)Multiple feature descriptors based model for individual identification in group photosJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2017.02.00231:2(185-207)Online publication date: 1-Apr-2019
  • (2016)An Efficient User Verification System Using Angle-Based Mouse Movement BiometricsACM Transactions on Information and System Security10.1145/289318518:3(1-27)Online publication date: 14-Apr-2016
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cover image ACM Conferences
MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia
November 2005
1110 pages
ISBN:1595930442
DOI:10.1145/1101149
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2005

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Author Tags

  1. biometrics
  2. face detection
  3. face recognition
  4. neural networks

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MM05

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2023)Deep Learning-Based Image Retrieval: Addressing the Semantic Gap for Accurate Content-Based Image Retrieval2023 International Conference on Circuit Power and Computing Technologies (ICCPCT)10.1109/ICCPCT58313.2023.10245342(1512-1517)Online publication date: 10-Aug-2023
  • (2019)Multiple feature descriptors based model for individual identification in group photosJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2017.02.00231:2(185-207)Online publication date: 1-Apr-2019
  • (2016)An Efficient User Verification System Using Angle-Based Mouse Movement BiometricsACM Transactions on Information and System Security10.1145/289318518:3(1-27)Online publication date: 14-Apr-2016
  • (2016)A kind of mouse behavior authentication method on dynamic soft keyboard2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2016.7844243(000211-000216)Online publication date: 9-Oct-2016
  • (2016)Human continuous activity recognition based on energy-efficient schemes considering cloud security technologySecurity and Communication Networks10.1002/sec.15639:16(3585-3601)Online publication date: 10-Nov-2016
  • (2014)You Are How You TouchProceedings of the 2014 IEEE 22nd International Conference on Network Protocols10.1109/ICNP.2014.43(221-232)Online publication date: 21-Oct-2014
  • (2011)An efficient user verification system via mouse movementsProceedings of the 18th ACM conference on Computer and communications security10.1145/2046707.2046725(139-150)Online publication date: 17-Oct-2011
  • (2011)Real-time face recognition system with dynamic training and enhanced multi-algorithm face recognitionProceedings of the International Conference & Workshop on Emerging Trends in Technology10.1145/1980022.1980047(119-122)Online publication date: 25-Feb-2011
  • (2006)Toward multimodal fusion of affective cuesProceedings of the 1st ACM international workshop on Human-centered multimedia10.1145/1178745.1178762(99-108)Online publication date: 27-Oct-2006

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