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Invariant Feature Extraction for Finger Vein Matching Using Fuzzy Logic Inference
, Adhiyaman M.
Published in Springer Singapore
Volume: 437
Pages: 125 - 134
Finger vein is a new member in the biometrics family. In the recent years, as a biometric trait finger vein has been achieved success and attracted lots of attention from the researchers. Current finger vein recognition algorithms provide high accuracy in good quality images. Most of the finger vein recognition systems utilize based on minutiae points. In this paper, we propose a method for finger vein matching using scale-invariant feature transformation (SIFT) key points which are determining the rules using fuzzy inference system and the matching scores are delivered by Euclidean distance. The fuzzy logic system provides the more adequate description of the proposed algorithm. The algorithm has been formulated based on SIFT key points which examine n number of images. MATLAB 7:14:0 is used to implement this technique. © Springer Science+Business Media Singapore 2016.
About the journal
JournalData powered by TypesetAdvances in Intelligent Systems and Computing Proceedings of Fifth International Conference on Soft Computing for Problem Solving
PublisherData powered by TypesetSpringer Singapore
Open AccessNo