@article{(Open Science Index):https://publications.waset.org/pdf/3350, title = {Multi-algorithmic Iris Authentication System}, author = {Hunny Mehrotra and Banshidhar Majhi and Phalguni Gupta}, country = {}, institution = {}, abstract = {The paper proposes a novel technique for iris recognition using texture and phase features. Texture features are extracted on the normalized iris strip using Haar Wavelet while phase features are obtained using LOG Gabor Wavelet. The matching scores generated from individual modules are combined using sum of score technique. The system is tested on database obtained from Bath University and Indian Institute of Technology Kanpur and is giving an accuracy of 95.62% and 97.66% respectively. The FAR and FRR of the combined system is also reduced comparatively.}, journal = {International Journal of Computer and Information Engineering}, volume = {2}, number = {8}, year = {2008}, pages = {2575 - 2579}, ee = {https://publications.waset.org/pdf/3350}, url = {https://publications.waset.org/vol/20}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 20, 2008}, }