Journal: Global Journal Of Artificial Intelligence
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Abstract
The extraction of feature shows a significant part of iris recogni-tion system. The robustness of recognition accuracy mostly de-pends on efficient extraction of feature. In the development of an effective recognition system, it is required that the best discrimi-nating feature available in an iris pattern to be properly extracted. This paper applied some selected feature extraction techniques: 1D Log-Gabor Filter (1D LGF), 2-D Gabor-Filter (2D GF), Dis-crete Cosine Tansform (DCT) and Scale Invariant Feature Trans-form (SIFT) for extraction of iris features and fusion technique. The CASIA iris image dataset was used to evaluate with evalua-tion parameters: False Acceptance Rate (FAR), False Rejection Rate (FRR), Error Rate (RA) and Recognition Accuracy (RA). The combined 1D Log-Gabor and 2D Gabor filter approach out-performed other techniques with 92.22% of recognition accura-cy, FRR of 0.0186, FAR of 0.1052 and ER of 2.87%.
Aiyeniko,,O. ADEKUNLE,Y. Eze,M. ALAO,O. EBIESUWA,O. .
(2020). Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System, 2
(), 1-1.
Aiyeniko,,O. ADEKUNLE,Y. Eze,M. ALAO,O. EBIESUWA,O. .
"Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System" 2, no (), (2020):
1-1.
Aiyeniko,,O. and ADEKUNLE,Y. and Eze,M. and ALAO,O. and EBIESUWA,O. and .
(2020). Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System, 2
(), pp1-1.
Aiyeniko,O, ADEKUNLEY, EzeM, ALAOO, EBIESUWAO, .
Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System. 2020, 2
():1-1.
Aiyeniko,,O ,
ADEKUNLE,Yinka ,
Eze,Monday ,
ALAO,Olujimi ,
and EBIESUWA,Oluwaseun
.
"Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System", 2 . (2020) :
1-1.
A.O A.Yinka E.Monday A.Olujimi & E.Oluwaseun ,
"Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System"
vol.2,
no.,
pp. 1-1,
2020.