Multimodal Biometric System

Biometric System ◽

Personal Authentication

Personal identification is a fundamental activity within our society. This identification is made possible by the emergence of the new concept of biometrics. Biometrics is the science of identifying or verifying an individual based on the physiological or behavioral characteristics like face, fingerprint, iris, signature, voice, retina, handwriting, and so forth. Biometric identifiers for personal authentication reduce or eliminate reliance on tokens, PINs, and passwords. It can be integrated into any application that requires security, access control, and identification or verification of people (Jain, Ross, & Prabhakar, 2004).

Research Advances in the Integration of Big Data and Smart Computing - Advances in Computational Intelligence and Robotics ◽

Adoption of Dual Iris and Periocular Recognition for Human Identification

10.4018/978-1-4666-8737-0.ch014 ◽

2016 ◽

pp. 250-266

Author(s):

R. Deepika ◽

M. R. Prasad ◽

Srinivas Chetana ◽

T. C. Manjunath

Keyword(s):

Iris Recognition ◽

Recognition System ◽

Personal Identification ◽

Iris Segmentation ◽

Biometric System ◽

Multiple Features ◽

Facial Region ◽

Segmentation Approach ◽

Periocular Recognition

Personal identification from the iris images acquired under less-constrained imaging environment is highly challenging. Such environment requires the development of efficient iris segmentation approach and recognition strategy which can exploit multiple features available for the potential identification. So, along with the iris features periocular features have increasing attention in biometrics technology. For the recognition purpose iris and periocular information are collected from both the eyes of same person simultaneously. The term periocular refers to the facial region in the immediate vicinity of the eye. Acquisition of image for periocular biometric is expected to require less subject cooperation. In this chapter, a dual iris based multimodal biometric system that increases the performance and accuracy of the typical iris recognition system is proposed.

Overview of Biometrics and Biometrics Systems

Multimodal Biometrics and Intelligent Image Processing for Security Systems ◽

10.4018/978-1-4666-3646-0.ch002 ◽

2013 ◽

pp. 6-25 ◽

Cited By ~ 1

Keyword(s):

System Performance ◽

Biometric System ◽

Security Systems ◽

Biometric Data ◽

System Components ◽

Intelligent Information ◽

And Performance ◽

Intelligent Security

Recent security threats increase the necessity to establish the identity of every person. Biometric authentication is a solution to person authentication by analyzing physiological or behavioral characteristics. In this chapter, various biometric notions and terms are reviewed, along with typical biometric system components and different functionalities and performance parameters. The design and development of a biometric system, depending on a particular application scenario, is covered. This chapter also focuses on the inherent issues associated with biometric data and system performance through introducing radically new methods based on intelligent information fusion and intelligent pattern recognition, thus creating a notion of intelligent security systems. At the end of the chapter, the potential drawbacks of biometric unimodal systems, which serves as the motivation to introduce the concept of multimodal biometric system in the context of intelligent security systems, is discussed.

Generalized net model of a biometric authentication system based on palm geometry and palm vein matching using intuitionistic fuzzy evaluations

Notes on Intuitionistic Fuzzy Sets ◽

10.7546/nifs.2020.26.4.71-79 ◽

2020 ◽

Vol 26 (4) ◽

pp. 71-79

Author(s):

Zhelyana Ivanova ◽

◽

Veselina Bureva ◽

Keyword(s):

Access Control ◽

Research Work ◽

Biometric Authentication ◽

Biometric System ◽

The Real ◽

Intuitionistic Fuzzy ◽

Authentication System ◽

Generalized Net ◽

Palm Vein

In the current research work a multimodal biometric system is investigated. It combines the palm vein authentication and palm geometry recognition methods. The system will be used to manage the access control. The apparatus of generalized nets is applied to model the biometric authentication processes. The constructed generalized net model of biometric authentication system based on palm geometry and palm vein matching using intuitionistic fuzzy evaluations can be used for simulation of the real processes. The intuitionistic fuzzy evaluations are used to compare the user traits with the templates stored in database.

Power Minimization Architecture for Multimodal Biometric System using Cadence

International Journal of Emerging Science and Engineering ◽

10.35940/ijese.h2478.046920 ◽

2020 ◽

Vol 6 (9) ◽

pp. 1-5

Keyword(s):

Energy Efficiency ◽

Low Power ◽

Fir Filter ◽

Power Minimization ◽

Biometric System ◽

Biometric Systems ◽

Low Power Architectures

Physiological or behavioral characteristics of a person being identified or verified using biometric systems. The preprocessing block has the fir filter in which enhanced energy-efficiency has been obtained by introducing the low power architectures within it. The implementation of low power architectures in the fir filter part will further provide the optimization in the various parameters such as power, area and timing. Therefore, this will help us to do the biometrics process faster and efficient.

Palm and Fingerprint Based Multimodal Biometric Technique

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f7328.038620 ◽

2020 ◽

Vol 8 (6) ◽

pp. 789-792

Keyword(s):

Experimental Evolution ◽

Biometric System ◽

Security And Reliability ◽

Fingerprint Database ◽

Personal Authentication

The biometric based personal authentication method is a technique used for computing and analyzing the physical and/or behavioral characteristics of the person. The in future the biometric system may provide an alternative of digital solution to the ID cards, passwords, driving licenses, passports, etc. Nowadays the researcher and scientist are given interest on multimodal biometric because multimodal biometric gives more security and reliability over the single biometric technique. In this paper, we proposed a multimodal biometric technique based one palm and fingerprint. The IITD palmprint and UPEK fingerprint database used for the experimental evolution.