Nowadays, biometric technology has attracted lots of researcher’s attention all over the world. Biometric based authentication provides the high-level security and confidentiality. Finger vein is one of the most accepted biometric traits for person identification. Finger veins are internal features of human body hence the effective security is guaranteed. These vein patterns are unique for each person so they are widely suitable for authentication. Feature extraction is the most important process of finger vein authentication. An efficient feature extraction technique which can improve the accuracy of the finger vein recognition. Further, various finger vein based feature extraction techniques are analyzed and discussed. In this survey, the feature extraction methods are categorized into following groups such as local binary-based methods, dimensionality reduction-based methods, minutiae-based methods and vein pattern based methods. Finally we concluded with the comparative analysis of different methods along with their Equal Error Rate (EER) and recognition rate (RR).

Finger-vein,Feature extraction, Authentication, Identification

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