Person authentication technique using human iris recognition
David Marius Daniel, Borda Monica · 2010
Research topic covered was the identification of a characteristic method of authentication based on biometric iris reading to achieve a solution to secure communications. Biometric identification solution based on iris reading was combined with conventional authentication methods to achieve more secure communications and computers better protected. The paper presents three iris classification techniques: Euclidean classifier, MLP classifier and the Hybrid Classifier. We created classifiers and compared their effectiveness when they are implemented in a system that allows the identification of iris combined with password identification. Application was made using Microsoft Visual Studio 2005 and involved several steps among which both using a free iris database, acquisition, processing and encoding human iris, code management, design classifiers and a comparative study regarding effectiveness of these classifiers.