Finger-knuckle-print recognition using Gabor feature and MMDA

Abstract

Recently, a new biometrics recognition, finger-knuckle-print, has attracted the interest of researchers. The popular techniques used in face recognition are not applied in finger-knuckle-print recognition. Inspired by the success of Gabor in face recognition, we propose a method that uses Gabor feature and a multi-manifold discriminant analysis (MMDA) method to identify finger-knuckle-print. The experimental results show that our proposed method can work well.

Key words： Gabor; multi-manifold discriminant analysis (MMDA); feature extraction; finger-knuckle-print image recognition

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