vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff8dba030000006a0f000001000400 This paper presents biometric personal identification based on iris recognition using artificial neural networks. Personal identification system consists of localization of the iris region, normalization, enhancement and then iris pattern recognition using neural network. In this paper, through results obtained, we have shown that a person’s left and right eye are unique. In this paper, we also show that the network is sensitive to the initial weights and that over-training gives bad results. We also propose a fast algorithm for the localization of the inner and outer boundaries of the iris region. Results of simulations illustrate the effectiveness of the neural system in personal identification. Finally a hardware iris recognition model is proposed and implementation aspects are discussed.
Usham Dias, Vinita Frietas, Sandeep P.S., Amanda Fernandes
Padre Conceicao College of Engineering, Goa, India
Biometric, Iiris Recognition, Artificial Neural Network
| January | February | March | April | May | June | July | August | September | October | November | December |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 1 , Issue: 2 , Pages: 78 - 84 )
Date of Publication :
October 2010
Page Views :
270
Full Text Views :
2
|