Online finger-knuckle-print verification for personal authentication

Biometric based personal authentication is an effective method for automatically recognizing, with a high confidence, a person’s identity. By observing that the texture pattern produced by bending the finger knuckle is highly distinctive, in this paper we present a new biometric authentication system using finger-knuckle-print (FKP) imaging. A specific data acquisition device is constructed to capture the FKP images, and then an efficient FKP recognition algorithm is presented to process the acquired data in real time. The local convex direction map of the FKP image is extracted, based on which a local coordinate system is established to align the images and a region of interest is cropped for feature extraction. For matching two FKPs, a feature extraction scheme which combines orientation and magnitude information extracted by Gabor filtering is proposed. An FKP database, which consists of 7,920 images from 660 different fingers, is established to verify the efficacy of the proposed...

• Type: Journal
• Year: 2010
• Where: PR
• Authors: Lin Zhang, Lei Zhang 0006, David Zhang, Hailong Zhu
• Keywords: Biometric, Feature Extraction, Fkp Image, PR 2010