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Recognition using Multimodal Biometric

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Shivani Bhardwaj, Supreet Kaur Gill

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

	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 = {},
	doi = {10.5120/ijca2016910834},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


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.


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Multimodal biometrics, Fast ICA, Hough transformation, Fuzzy logic