Periocular Recognition Based on LBP Method and Matching by Bit-Shifting

Periocular recognition requires neither a high-resolution camera nor a zoom lens. It matches using the features extracted from the surrounding area of the eye. In addition, by using a wide-view camera, the constraints to users’ head movement decrease. In this research, we newly propose a periocular recognition based on LBP method and matching by bit-shifting. Our research is novel in the following three manners. First, the iris and pupil region in the input eye image are detected. This allows the accurate eye region to be obtained for periocular recognition. Second, the feature code is extracted from the eye region with a local binary pattern method. Third, the proposed system performs matching by bit-shifting to prevent degradation to the matching accuracy caused by head movement. Experimental results show that the high accuracy of periocular recognition is obtained by the proposed method.