APPLYING THE METHOD OF DIFFERENT CUMULATIVE BIN LOCAL BINARY PATTERN (DCBLBP) TO A SMALL IRIS REGION FOR FEATURES IN IRIS CLASSIFICATION
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.
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- Reference1
R.P. Ramkumar
Mahendra Institute of Technology India
rprkvishnu@gmail.com
- Reference2
Loris Nanni
Department of Electronics Information and Systems,
University Bologna, Italy
loris.nanni@unibo.it
- Reference3
Izem Hamouchene
LRIA Laboratory Computer Science Department
USTHB University, Algeria
ihamouchene@usthb.dz