Abstract
Finger vein recognition is the process of determining whether or not the input finger image belongs to a specific person Finger-vein recognition is a new research area in the field of biometric recognition. Finger vein patterns are considered to be diverse even in identical twins and between an individual’s different fingers. Gabor Filter is the main algorithm utilized in this paper. Finger-vein Pattern Extraction is done with the Gabor Filter. Prior to feature extraction, many preprocessing processes must be completed. Image Normalization, ROI Extraction using Background Separation, and Image Contrast Enhancement are the preprocessing steps. During post-processing, we also applied certain approaches to improve the clarity of the retrieved finger vein pattern. Morphological Operations are employed during post-processing to expand the vein pattern’s shape and structure. The SURF technique is also utilized to detect descriptive important points in the Vein pattern image, which aids us in the matching process. An experimental result shows that the suggested system extracts vein patterns with near-perfect accuracy and recognizes them with high accuracy.
Published Version
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