International Journal of Computer
Trends and Technology

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Volume 4 | Issue 3 | Year 2013 | Article Id. IJCTT-V4I3P112 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I3P112

Human Identification Using Finger and Iris Images

M.Bhavani,Mrs.Shoba Rani

Citation :

M.Bhavani,Mrs.Shoba Rani, "Human Identification Using Finger and Iris Images," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 3, pp. 258-263, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I3P112

Abstract

Biometric system has been actively emerging in various industries for the past few years, and it is continuing to roll to provide higher security features for access control system. In the recent years, hand based biometrics is extensively used for personal recognition. In this paper a new combined biometric system based on texture of the hand knuckles, namely FingerKnuckle-Print (FKP) and IRIS, is proposed. To extract the image local texture information and represent the FKPs features, by Linear Discriminate Analysis (LDA) and IRIS by the 2D Block based Gabor method, is employed. Finally, performance of all finger/iris types is determined individually and a min rule fusion is applied to develop a combined authentication system. Experimental results show that LDA the best performance for identifying FKPs and Gabor is the best performance for IRIS and it is able to provide an excellent recognition rate and provide more security.

Keywords

Finger Knuckle Print, IRIS, LDA, Gabor, Recognition.

References

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