Personal Authentication Using Finger Knuckle Surface
نویسندگان
چکیده
منابع مشابه
A Geometric Approach for Personal Authentication based on Finger Back Knuckle Surface using Tangents and Secants
Biometric based Personal authentication is still active research problem due to various issues such as providing high accuracy, computationally less complex feature extraction method and fusion strategy of multiple feature information. In this work we propose a personal authentication system using one such hand based biometric trait, Finger Back Knuckle Surface (FBKS). The texture pattern produ...
متن کاملPersonal Authentication based on Angular Geometric Analysis using Finger Back Knuckle Surface
In this paper a new authentication system using Finger Back Knuckle Surface is examined. This paper is intended to propose an effectual method for personal authentication using Finger Back Knuckle Surface. This method take advantage of the less number of features extracted from the Finger Back Knuckle Surface and the Angular geometric analysis is done to mine the distinguishable feature informa...
متن کاملOnline 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 ...
متن کاملPersonal Identification using Finger Knuckle Orientation Features
Electronics Letters vol. 45, no. 20, September 2009 Personal Identification using Finger Knuckle Orientation Features Ajay Kumar, Yingbo Zhou This paper proposes a novel approach for personal identification using finger images which exploits the orientation features from the random knuckle lines using finite Radon transform. The feasibility of this approach is rigorously evaluated on a publical...
متن کاملFinger Knuckle Print Based Authentication
-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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Information Forensics and Security
سال: 2009
ISSN: 1556-6013
DOI: 10.1109/tifs.2008.2011089