Applying the Method of Different Cumulative Bin Local Binary Pattern (DCBLBP) to A Small Iris Region for Features in Iris Classification

Abstract

This paper presents an extended variant of the local binary pattern (LBP) method to extract the irisfeature for iris classification system. The method is called Different Cumulative Bin Local BinaryPattern (DCBLBP) in which the local iris information will be projected into the binary bit andapplies global characteristic for features according to the ratio of bit transition along the horizontalaxis. The proposed DCBLBP scheme employs the majority bit decision for assigning the bit to thereference elements where the assigned bit is unaffected by the predetermined index number of thepixel block. The results demonstrate a good classification score and show that the features extractedfrom the proposed DCB_LBP scheme are reliable for iris classification system.