Finger Knuckle Print Identification using Gabor Features
نویسندگان
چکیده
منابع مشابه
ANN Classifier for Finger Knuckle Print Recognition using Gabor Feature
This paper proposes an enhanced method for personal authentication based on finger Knuckle Print using Gabor transform. In study shows that finger knuckle print (FKP) technique of a person can be used as a biometric trait in a biometric authentication system due to its uniqueness property. Hand-based person recognition provides a reliable, in low-cost and user-friendly viable solution for a ran...
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-In this paper, we investigate a new approach for personal authentication using Finger-Knuckle-Print through a novel texture descriptor, Local Directional Pattern (LDP). The image is encoded with Local Directional Pattern, which enhances the information as each pixel is represented as a binary LDP code. The Finger-Knuckle-Print is divided into smaller areas and LDP histograms are extracted from...
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Researchers have recently found that the finger-knuckle-print (FKP), which refers to the inherent skin patterns of the outer surface around the phalangeal joint of one’s finger, has high discriminability, making it an emerging promising biometric identifier. Effective feature extraction and matching plays a key role in such an FKP based personal authentication system. This paper studies image l...
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Biometric based human recognition is a most obvious method for automatically resolving personal identity with high reliability. In this paper we present a novel finger-knuckle-print ROI extraction algorithm. The basic Gabor filter is modified to Curvature Gabor Filter (CGF) to obtain central knuckle line and central knuckle point which are further used to extract FKP ROI image. Largest public F...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2014
ISSN: 0975-8887
DOI: 10.5120/17283-7641