Journal: Global Journal Of Artificial Intelligence
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Abstract
The extraction of feature shows a significant part of iris recognition system. The robustness of recognition accuracy mostly depends on efficient extraction of feature. In the development of an effective recognition system, it is required that the best discriminating 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), Discrete Cosine Tansform (DCT) and Scale Invariant Feature Transform (SIFT) for extraction of iris features and fusion technique. The CASIA iris image dataset was used to evaluate with evaluation 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 outperformed other techniques with 92.22% of recognition accuracy, FRR of 0.0186, FAR of 0.1052 and ER of 2.87%.
Ayeniko,O. Adekunle,A. EZE,M. ALAO,O. EBIESUWA,O. .
(2020). Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System, 2
(), 1-1.
Ayeniko,O. Adekunle,A. EZE,M. ALAO,O. EBIESUWA,O. .
"Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System" 2, no (), (2020):
1-1.
Ayeniko,O. and Adekunle,A. 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.
AyenikoO, AdekunleA, EZEM, ALAOO, EBIESUWAO, .
Performance Analysis of Feature Extraction and its Fusion Techniques for Iris Recognition System. 2020, 2
():1-1.
Ayeniko,Olukayode ,
Adekunle,Adeyinka ,
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.Olukayode A.Adeyinka 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.