Finger Knuckle Print Identification using Gabor Features

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Provided by: International Journal of Computer Applications
Topic: Security
Format: PDF
One of the current trends in biometric human identification is the development of new emerging modalities. Knuckle biometrics is one of such promising modalities. Texture pattern produced by the finger knuckle bending is highly unique and makes the surface a distinctive biometric identifier. This paper presents feature based identification methods for an emerging biometric identifier called Finger-Knuckle-Print (FKP). Techniques employed for feature based approach is Gabor filter method .In applications of computer vision and image analysis, Gabor filters have maintained their popularity in feature extraction for almost three decades.
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