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Fuzzy Commitment Scheme for Masked Iris Codes

International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 79 - Number 11
Year of Publication: 2013
Osama Ouda

Osama Ouda. Article: Fuzzy Commitment Scheme for Masked Iris Codes. International Journal of Computer Applications 79(11):1-5, October 2013. Full text available. BibTeX

	author = {Osama Ouda},
	title = {Article: Fuzzy Commitment Scheme for Masked Iris Codes},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {79},
	number = {11},
	pages = {1-5},
	month = {October},
	note = {Full text available}


The fuzzy commitment scheme is one of most popular biometric cryptosystems that aim at securing cryptographic keys using biometrics. Because of the high recognition accuracy exhibited by the iris, iris-based fuzzy commitment schemes, among other modalities, provide the most practical performance rates. Unfortunately, existing iris-based fuzzy commitment schemes do not incorporate noise masks, generated along with iris-codes to highlight unwanted regions of the iris, because there is no way to know the mask of the decoding iris sample in advance. Therefore, the decoding accuracy of iris-based fuzzy commitment schemes is much less than the recognition accuracy of the underlying iris recognition system. This paper presents an iris-based fuzzy commitment scheme that uses the noise mask of the encoding iris sample at both encoding and decoding stages. Experimental results show that the proposed scheme provides a remarkable improvement in the decoding accuracy of iris-based fuzzy commitment schemes.


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