Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Gesture Controlled Wireless Device for Disabled Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Analyzing State-of-the-Art Techniques for Fusion of Multimodal Biometrics

Authors : Steven Lawrence Fernandes, G. Josemin Bala

Published in: Proceedings of the Second International Conference on Computer and Communication Technologies

Publisher: Springer India

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Multimodal systems used for face recognition can be broadly classified into three categories: score level fusion, decision level fusion, and feature level fusion. In this paper, we have analyzed the performance of the three categories on various standard public databases such as Biosecure DS2, FERET, VidTIMIT, AT&T, USTB I, USTB II, RUsign, and KVKR. From our analysis, we found that score level fusion approach can effectively fuse multiple biometric modalities, and is robust to operate in less constrained conditions. In the decision fusion scheme, each decision is made after the improvement of the classifier confidence hence the recognition rate obtained is less compared to score level fusion. Feature level fusion requires less information and performs better than decision level fusion, but its recognition rate is less compared to score level fusion.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Simulation-Level Implementation of Face Recognition in Uncontrolled Environment
next chapter Genetic Algorithmic Approach to Mitigate Starvation in Wireless Mesh Networks
Literature
1.
Prabhakar, S., Pankanti, S., et al.: Biometric recognition security and privacy concerns. IEEE Secur. Priv. 1(2), 33–42 (2003)CrossRef
2.
Jain, A.K., Flynn, P., et al.: Handbook of Biometrics. Springer, New York (2007)
3.
Down, M.P., Sands, R.J.: Biometrics: an overview of the technology, challenges and control considerations. Inf. Syst. Control J. 4, 53–56 (2004)
4.
Ross, A., Govindarajan, R.: Feature level fusion using hand and face biometrics. In: Proceedings of the SPIE 2nd Conference Biometric Technology Human Identification, Orlando, USA, pp. 196–204 (2004)
5.
Chang, K., Bower, K.W., et al.: Comparison and combination of ear and face images in appearance-based biometrics. IEEE Trans. Pattern Anal. Mach. Intell. 25(9), 1160–1165 (2003)CrossRef
6.
Marcialis, G.L., Roli, F.: Fingerprint verification by fusion of optical and capacitive sensors. Pattern Recognit. Lett. 25(11), 1315–1322 (2004)CrossRef
7.
Ross, A., Jain, A.K.: Information fusion in biometrics. Patter Recognit. Lett. 24(13), 2115–2125 (2003)CrossRef
8.
Kinnunen, T., Hautamäki, V., et al.: Fusion of spectral feature sets or accurate speaker identification. In: Proceedings of the 9th Conference Speech Computer, pp. 361–365 (2004)
9.
Ross, A., Jain, A.: Information fusion in biometrics. Pattern Recogn. Lett. 24, 2115–2125 (2003)
10.
Yang, F., Ma, B.: A new mixed-mode biometrics information fusion based-on fingerprint: hand-geometry and palm-print. In: Proceedings of the IEEE Conference Image Graph, pp. 689–693 (2007)
11.
Cui, J., Li, J.P., et al.: Study on multibiometric feature fusion and recognition model. In: Proceedings of the IEEE Conference Apperceiving Computing and Intelligence Analysis pp. 66–69 (2008)
12.
Dahel, S.K., Xiao, Q.: Accuracy performance analysis of multimodal biometrics. Information Assurance Workshop, IEEE Systems Man and Cybernetics Society, pp. 170–173 (2003)
13.
Ross, A., Nandakumar, K., et al.: Handbook of Multibiometrics. Springer, Germany (2006)
14.
Ross, A., Nandakumar, K., et al.: Handbook Of Multibiometrics. Springer, USA (2011)
15.
Nguyen, K., Denman, S., et al.: Score-level multibiometric fusion based on dempster–shafer theory incorporating uncertainty factor. IEEE Trans. Hum. Mach. Syst. 45(1) (2015)
16.
Paul, P.P., Gavrilova, M.L., et al.: Decision fusion for multimodal biometrics using social network analysis. IEEE Trans. Syst. Man Cybern. Syst. 44(11) (2014)
17.
Kale, K.V., Rode, Y.S., et al.: Multimodal biometric system using fingernail and finger knuckle (2013)
18.
19.
20.
21.
22.
23.
Fernandes, S.L., Josemin Bala, G.: 3D and 4D face recognition: a comprehensive review. Recent Pat. Eng. 8(2), 112–119 (2014)
24.
Fernandes, S.L., Josemin Bala, G.: Development and analysis of various state of the art techniques for face recognition under varying poses. Recent Pat. Eng. 8(2), 143–146 (2014)
25.
Fernandes, S.L., Josemin Bala, G.: Recognizing faces when images are corrupted by varying degree of noises and blurring effects. Adv. Intell. Syst. Comput. 337(1), 101–108 (2015)CrossRef
26.
Fernandes, S.L., Josemin Bala, G.: Low power affordable, efficient face detection in the presence of various noises and blurring effects on a single-board computer. Adv. Intell. Syst. Comput. 337(1), 119–127 (2015)CrossRef
27.
Fernandes, S.L., Josemin Bala, G.: Recognizing facial images in the presence of various noises and blurring effects using gabor wavelets, DCT neural network, hybrid spatial feature interdependence matrix. In: 2nd IEEE International Conference on Devices, Circuits and Systems (2014)
28.
Fernandes, S.L., Josemin Bala, G.: Recognizing facial images using ICA, LPP, MACE gabor filters, score level fusion techniques. In: IEEE International Conference Electronics and Communication Systems (2014)
29.
Fernandes, S.L., Josemin Bala, G., et al.: Robust face recognition in the presence of noises and blurring effects by fusing appearance based techniques and sparse representation. In: IEEE International Conference on Advanced Computing, Networking and Security (2013)
30.
Fernandes, S.L., Josemin Bala, G., et al.: A comparative study on score level fusion techniques and MACE gabor filters for face recognition in the presence of noises and blurring effects. In: IEEE IEEE International Conference on Cloud and Ubiquitous Computing and Emerging Technologies (2013)
Metadata
Title
Analyzing State-of-the-Art Techniques for Fusion of Multimodal Biometrics
Authors
Steven Lawrence Fernandes
G. Josemin Bala
Copyright Year
2016
Publisher
Springer India
Book
Proceedings of the Second International Conference on Computer and Communication Technologies

Print ISBN: 978-81-322-2525-6

Electronic ISBN: 978-81-322-2526-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-81-322-2526-3_49