Person Identification through IRIS Recognition
作者： Poulami Das , Debnath Bhattacharyya , Samir Kumar Bandyopadhyay , Tai-hoon Kim , None
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摘要: In this paper we propose a new biometric-based Iris feature extraction system. The system automatically acquires the biometric data in numerical format (Iris Images) by using set of properly located sensors. We are considering camera as high quality sensor. Images typically color images that processed to gray scale images. Then Feature algorithm is used detect “IRIS Effective Region (IER)” and then extract features from characterization underlying biometrics. Later on work will be helping identify an individual comparing obtained with previously stored producing similarity score. This score indicating degree between pair biometrics under consideration. Depending similarity, can identified. Authentication also major concern area thesis. By Biological characteristics IRIS Pattern use Statistical Correlation Coefficient for ‘IRIS Pattern’ recognition where Estimation Theory play big role.
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