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 iris feature for iris classification system. The method is called Different Cumulative Bin Local Binary Pattern (DCBLBP) in which the local iris information will be projected into the binary bit and applies global characteristic for features according to the ratio of bit transition along the horizontal axis. The proposed DCBLBP scheme employs the majority bit decision for assigning the bit to the reference elements where the assigned bit is unaffected by the predetermined index number of the pixel block. The results demonstrate a good classification score and show that the features extracted from the proposed DCB_LBP scheme are reliable for iris classification system.

Keywords

• Local Binary Pattern,Support Vector Machines,Iris Classification

References

1. Reference1 R.P. Ramkumar Mahendra Institute of Technology India [e-mail]
2. Reference2 Loris Nanni Department of Electronics Information and Systems, University Bologna, Italy [e-mail]
3. Reference3 Izem Hamouchene LRIA Laboratory Computer Science Department USTHB University, Algeria [e-mail]