Iris and Finger Vein Multi Model Recognition System Based on Sift Features
Iris and Finger Vein Multi Model Recognition System Based on Sift Features is a scholarly work, published in 2018 in ''Journal of Advanced Sciences and Engineering Technologies''. The main subjects of the publication include iris recognition, normalization, artificial intelligence, feature extraction, identification, computer vision, scale-invariant feature transform, biometrics, pattern recognition, and computer science. Experimental results demonstrate that the normalization and improvement steps are critical for SIFT-based recognition for iris and finger vein , and the proposed technique can accomplish satisfactory recognition performance.