doi: 10.7763/IJET.2011.V3.198
Person Identification Using Iris Recognition
S. R. Ganorkar
- College of Engineering, Pune-411041, Maharashtra, India. F. B
Abstract
The authentication of people using iris-based recognition is a widely developing technology. Personal identification system consists of localization of the iris region, extracting iris features, generation of data set of iris images and then iris pattern recognition. This paper presents an iris detection and recognition method, which adopts the wavelet transform to extract iris texture features and an artificial neural network as classifier. The classification is done using Multi Layer Perceptron with sigmoid transfer function. The classification accuracy obtained is 92.14% and MSE is 0.0052. The corresponding FRR and FAR is 0% and 7.8% respectively.
Keywords
- Artificial neural network
- iris segmentation
- pupil detection
- wavelet transform
How to Cite
S. R. Ganorkar, "Person Identification Using Iris Recognition," International Journal of Engineering and Technology, vol. 3, no. 1, pp. 40-43, 2011. https://doi.org/ 10.7763/IJET.2011.V3.198
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).