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Recognition using Multimodal Biometric

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 8
Year of Publication: 2016
Authors:
Shivani Bhardwaj, Supreet Kaur Gill
10.5120/ijca2016910834

Shivani Bhardwaj and Supreet Kaur Gill. Recognition using Multimodal Biometric. International Journal of Computer Applications 146(8):24-29, July 2016. BibTeX

@article{10.5120/ijca2016910834,
	author = {Shivani Bhardwaj and Supreet Kaur Gill},
	title = {Recognition using Multimodal Biometric},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2016},
	volume = {146},
	number = {8},
	month = {Jul},
	year = {2016},
	issn = {0975-8887},
	pages = {24-29},
	numpages = {6},
	url = {http://www.ijcaonline.org/archives/volume146/number8/25419-2016910834},
	doi = {10.5120/ijca2016910834},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

In recent time, biometric have been utilized broadly for verification and authentication purposes. Numerous changes and advances have been executed are as yet being created. Some issues in unimodal like absence of comprehensiveness, interclass variety and affectability to assaults which prompt spoofing of the verification framework are resolved by multimodal biometric system. Multimodal biometric system combines more than one biometric trait to authenticate a person’s identity. In this paper three biometric traits face, Iris and fingerprint have been combined to develop a secure biometric system. Matching level fusion has been done on traits. Proposed system is more secure since it is using FastIca over face, Hough transformation on Iris. Face acknowledgment is most natural and satisfactory in personality confirmation; Iris and fingerprint have unique features and more accurate. Also Fuzzy logic is applied on the fusion of these three biometric traits.

References

  1. A. K. Jain, A. Ross, and S. Prabhakar, “An Introduction to Biometric Recognition”, IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 4–20, 30, Jan. 2004.
  2. Nazia Nafis, “A review on the Existent and Emerging Biometrics Modalities”, AEICT-2014.
  3. Olufemi Sunday Adeoye, “A survey of Emerging Biometric Technologies”, International Journal of Computer Appliccations (0975- 8887), Vol. 9, No. 10, November 2010.
  4. Anil k.Jain and Arun Ross “Multimodal biometric systems”, Communication of THE ACM January 2004/Vol. 47, No. 1
  5. Ashish Mishra “Multimodal biometrics it is: need for future systems” International journal of computer applications volume 3-No.4, June 2010.
  6. A. K Jain, A. Ross, “Information Fusion In Biometrics”,Elsevier, Pattern Recognition Letters 24 (2003)
  7. Ho T.K, Hull J.J, Srihari S.N et al.Decision combination in multiple classifier systems [J]. IEEE Trans. PAMI 1994, 16 (1): 66– 75
  8. Cappelli, R., Maio. D, Maltoni D et al.Combining fingerprint classifiers. In First Internet. Workshop on Multiple Classifier Systems, 2000: 351–361
  9. A. Ross, A.K.Jain, et al. Information fusion in biometrics. Pattern Recognition Letters, 2003, 24(13): 2115 –2125.
  10. Sarabjit Singh, Amritpal Kaur “A Face Recognition Technique using Local Binary Pattern Method” IJARCCE Vol. 4, Issue 3, March 2015
  11. Brian O’Connor and Kaushik Roy “Facial Recognition using Modified Local Binary Pattern and Random Forest” (IJAIA), Vol. 4, No. 6, November 2013
  12. Nupriya Goyal “ Multi-Biometric Recognition for Iris and Ear Images by using ICA, GA, Hamming Distance” JNCET Volume 2, Issue 1, May (2015)
  13. Naresh Babu N T, Vaidehi V “Fuzzy Based IRIS Recognition System (FIRS) For Person Identification” IEEE- ICRTIT 2011.
  14. Mehdi Ghayoumi “An Adaptive Fuzzy Multimodal Biometric System for Identification and Verification IEEE-ICIS 2015, June 28-July 1 2015, Las Vegas, USA.
  15. Tanmay Awasthy, Anubhav Kumar “Analysis of Fast- ICA Algorithm for Separation of Mixed Images”, IJECSE, ISSN 2277-1956
  16. Li-Yuan Chen and Chi-Jie Lu “An Improved Independent Component Analysis Algorithm Based on Artificial Immune System”, DOI: 10.7763, IJMLC.2013.V3.279
  17. Samarth Bharadwaj, Mayank Vatsa “Biometric quality: a review of fingerprint, iris and face”, EURASIP Journal on Image and Video Processing 2014
  18. P. Richard, Wildes, “Iris Recognition: An Emerging BiometricTechnology”, Proc. of the IEEE Int’l conf. on image processing, vol. 85, no. 9, September 1997.
  19. L. Flom and A. Safir, “Iris Recognition System”, US Patent 4641394, 1987.
  20. Chung-Chih Tsai, Heng-Yi Lin “Iris Recognition Using Possibilistic Fuzzy Matching on Local Features” IEEE transactions on systems, man, and cybernetics—part b: cybernetics, vol. 42, no. 1, February 2012

Keywords

Multimodal biometrics, Fast ICA, Hough transformation, Fuzzy logic