scholarly journals BIOMETRIC SCORE FUSION

2016 ◽  
Vol 2 (6) ◽  
Author(s):  
PANKAJ ,
Keyword(s):  
Frontal Area ◽  
Coarse Grained ◽  
Security Level ◽  
Focal Points ◽  
Biometric Data ◽  
Score Fusion ◽  
Relative Change ◽  
Modular Framework ◽  
Score Combination ◽  
Match Score

Multimodal biometric innovation in light of unique mark and finger knuckle has pulled in footing among scientists as of late. Despite the fact that Uni-modular framework offers many focal points, it has certain intrinsic shortcomings which deny it of the appeal. Uni-modular unique finger impression biometric frameworks performed singular acknowledgment in light of a particular wellspring of biometric data. However the match score esteem must be enhanced by working with low quality little closer view zone biometric pictures. In fact, the confirmation forms delivered by Finger Knuckle Print (FKP) brings about higher relative changes. The distortions between FKP pictures of same finger are of higher extent. The unimodal biometric check framework frequently gets influenced after accomplishing higher match score esteem. Besides, bimodal check framework does not accomplish higher security level which prompts to lesser combination score esteem. To diminish relative change on multimodal biometric framework, NonFracture based Fingerprint and Finger-Knuckle print Biometric Score Fusion (NFF-BSF) component is proposed in this paper. At first, particular estimation of match score is measured utilizing multimodal fitting coarse grained dissemination work. Multimodal fitting coarse grained dissemination capacity is utilized to work with low quality petite frontal area biometric pictures that accomplish high fitting score on the test and preparing biometric pictures. Also, Non-Fracture misshapening handling is completed in NFF-BSF instrument to diminish the adjustment fit as a fiddle of protest by utilizing bend length on biometric picture surfaces. At last, a coordinating technique in NFF-BSF instrument is utilized to decrease the relative changes. Thus, the relative changes on multimodal biometric framework expands the match score combination esteem. Investigation is directed on variables, for example, certifiable acknowledgment rate, coordinating score combination level and blunder rate on multimodal coordinating

MATCH SCORE FUSION OF FINGERPRINT AND FACE BIOMETRICS FOR VERIFICATION

2015 ◽  
Vol 77 (18) ◽  
Author(s):  
Chiung Ching Ho ◽  
Mufaddal Ali Hussin ◽  
Hu Ng
Keyword(s):  
Feature Vector ◽  
Product Rule ◽  
New Approach ◽  
Biometric Systems ◽  
Score Fusion ◽  
Face Biometrics ◽  
Match Score

In recent years, attacks on password databases have been carried out at an increasing rate, with significant success. Thus, a new approach is needed to prove one's claim to identity instead of relying on a password. In this paper, we investigate the use of biometric match scores for the purpose of verification. Our work was performed using the BSSR1 multimodal match score biometric dataset, which contains match scores from face and fingerprint biometric systems. We investigated the use of match scores as a feature vector, and performed Simple Sum and Product Rule fusion of match scores. The results we obtained demonstrated that the use of match scores for verification purposes can be achieved to give a result that is highly accurate.

scholarly journals A Multimodal Technique for an Embedded Fingerprint Recognizer in Mobile Payment Systems

2009 ◽  
Vol 5 (2) ◽  
pp. 105-124 ◽  
Author(s):  
V. Conti ◽  
C. Militello ◽  
F. Sorbello ◽  
S. Vitabile
Keyword(s):  
Distributed Systems ◽  
Identity Management ◽  
User Authentication ◽  
Recognition Performance ◽  
Customer Relationships ◽  
Security Level ◽  
Payment Systems ◽  
Biometric Data ◽  
Access Points ◽  
Micro Features

The development and the diffusion of distributed systems, directly connected to recent communication technologies, move people towards the era of mobile and ubiquitous systems. Distributed systems make merchant-customer relationships closer and more flexible, using reliable e-commerce technologies. These systems and environments need many distributed access points, for the creation and management of secure identities and for the secure recognition of users. Traditionally, these access points can be made possible by a software system with a main central server. This work proposes the study and implementation of a multimodal technique, based on biometric information, for identity management and personal ubiquitous authentication. The multimodal technique uses both fingerprint micro features (minutiae) and fingerprint macro features (singularity points) for robust user authentication. To strengthen the security level of electronic payment systems, an embedded hardware prototype has been also created: acting as self-contained sensors, it performs the entire authentication process on the same device, so that all critical information (e.g. biometric data, account transactions and cryptographic keys), are managed and stored inside the sensor, without any data transmission. The sensor has been prototyped using the Celoxica RC203E board, achieving fast execution time, low working frequency, and good recognition performance.

Secure Remote Biometric Authentication Protocol

2014 ◽  
Vol 931-932 ◽  
pp. 1437-1440
Author(s):  
Anongporn Salaiwarakul
Keyword(s):  
User Authentication ◽  
Authentication Protocol ◽  
Security Level ◽  
Biometric Authentication ◽  
Biometric Data ◽  
Liveness Property ◽  
Live Presentation

The secure remote biometric authentication protocol proposed in this paper solves the problem from the nature of the biometric data. The proposed protocol preserves the privacy of the users biometric data when it is transmitted in the protocol. The liveness property of the protocol guarantees that the biometric data used to authenticate the user comes from the live presentation of the user. The most important property related with the intentional authentication; it confirms that the purpose of the user authentication correspondences to the users purpose. The proposed secure remote biometric authentication protocol promises three properties so that the user is confident with the security level that the protocol offers and it guarantees that the protocol does not manipulate with an intruder.

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