Steady Illumination Color Local Ternary Pattern as a Feature Extractor in Iris Authentication

Abstract

The iris, considered as part of ocular biometrics, is an externally visible, yet protected organ whose unique epigenetic pattern remains stable throughout adult life. This characteristic makes it a very important modality for use as a biometric for authentication. When a subject wishes to be identified by iris recognition system, their eyes are first photographed, and then a template is created. This template is then compared with the other templates stored in a database until a correct match is found or it remains unidentified. Steady Illumination color Local Ternary Pattern (SIcLTP) has been used as a feature extractor in this paper to extract unique information from the color irises. The image matching is done using zero-mean sum of squared differences between the two equally sized images. The result shows that it can outperform the conventional local binary pattern as a texture descriptor.