Comparison of levels and fusion approaches for multimodal biometrics

The biometric-based authentication system occupies maximal space in the field of security administration. Biometric applications are swiftly accelerating in day-to-day life such as computer login, smart homes, online banking, hospitals, border areas, industries, forensics, e-voting attendance system and investigation of crime. A reliable and accurate recognition body can be achieved with multimodal biometric methodologies. In this paper, we discuss starting with an introduction to biometric systems followed by their classification, and advantages as well as disadvantages. In today’s world, most of the systems are unimodal biometrics having a lot of limitations to overcome those multimodal biometrics comes in to picture. In this paper we have discussed comprehensive representation on the system of multimodal biometric, various modes of undertakings, the significance of information fusion, a different section is allotted on the various possible levels of fusion involving sensor-level, feature-level, score-level, and decision -level as well as different rules of fusion.

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Towards an Understanding of User Acceptance to Use Biometrics Authentication Systems in E-Commerce

Transformations in E-Business Technologies and Commerce ◽

10.4018/978-1-61350-462-8.ch007 ◽

2011 ◽

pp. 113-134

Author(s):

Fahad AL Harby ◽

Rami Qahwajim ◽

Mumtaz Kamala

Keyword(s):

Technology Acceptance ◽

Theoretical Basis ◽

Large Scale ◽

New Technology ◽

User Acceptance ◽

Online Banking ◽

Biometric Systems ◽

Authentication System ◽

Acceptance Model ◽

Authentication And Security

Security is an increasingly important issue for business, and with it, the need for authentication. The use of biometric systems for personal authentication is a response to the rising issue of authentication and security. As with any new technology, user acceptance is often hard to measure, thus, in this work, a study of user acceptance of a biometrics authentication system in e-commerce, such as online banking within the Saudi society, was conducted. The study examined whether Saudis are practically willing to accept this technology by involving 306 participants in a large scale laboratory experiment that actively tested a biometric authentication system in combination of a survey. The Technology Acceptance Model (TAM) was adopted as the theoretical basis to develop the research framework in which the model has proven its efficiency as a good predictor for the study’s application.

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A Survey on Unimodal, Multimodal Biometrics and Its Fusion Techniques

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i4.36.24224 ◽

2018 ◽

Vol 7 (4.36) ◽

pp. 689 ◽

Cited By ~ 1

Author(s):

A. S. Raju ◽

V. Udayashankara

Keyword(s):

Information Fusion ◽

Human Identification ◽

Future Research ◽

Biometric System ◽

Multimodal Biometrics ◽

Multimodal Biometric System ◽

Face Features ◽

Biometric Systems ◽

Characteristic Sequences ◽

Multimodal Biometric Systems

Presently, a variety of biometric modalities are applied to perform human identification or user verification. Unimodal biometric systems (UBS) is a technique which guarantees authentication information by processing distinctive characteristic sequences and these are fetched out from individuals. However, the performance of unimodal biometric systems restricted in terms of susceptibility to spoof attacks, non-universality, large intra-user variations, and noise in sensed data. The Multimodal biometric systems defeat various limitations of unimodal biometric systems as the sources of different biometrics typically compensate for the inherent limitations of one another. The objective of this article is to analyze various methods of information fusion for biometrics, and summarize, to conclude with direction on future research proficiency in a multimodal biometric system using ECG, Fingerprint and Face features. This paper is furnished as a ready reckoner for those researchers, who wish to persue their work in the area of biometrics.

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An optical authentication system based on encryption technique and multimodal biometrics

Optics & Laser Technology ◽

10.1016/j.optlastec.2013.05.021 ◽

2013 ◽

Vol 54 ◽

pp. 120-127 ◽

Cited By ~ 7

Author(s):

Sheng Yuan ◽

Tong Zhang ◽

Xin Zhou ◽

Xuemei Liu ◽

Mingtang Liu

Keyword(s):

Multimodal Biometrics ◽

Authentication System

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Social Behavioral Information Fusion in Multimodal Biometrics

IEEE Transactions on Systems Man and Cybernetics Systems ◽

10.1109/tsmc.2017.2690321 ◽

2018 ◽

Vol 48 (12) ◽

pp. 2176-2187 ◽

Cited By ~ 10

Author(s):

Madeena Sultana ◽

Padma Polash Paul ◽

Marina L. Gavrilova

Keyword(s):

Information Fusion ◽

Multimodal Biometrics ◽

Behavioral Information

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Analytical Review of Biometric Technology Employing Vivid Modalities

International Journal of Image and Graphics ◽

10.1142/s0219467822500048 ◽

2021 ◽

pp. 2250004

Author(s):

Vandana ◽

Navdeep Kaur

Keyword(s):

Security And Privacy ◽

Future Research ◽

Multimodal Biometrics ◽

Biometric Technology ◽

Practical Applications ◽

Biometric Systems ◽

Potential Applications ◽

Analytical Review ◽

Comprehensive Survey ◽

Technology Market

The digitalization has been challenged with the security and privacy aspects in each and every field. In addition to numerous authentication methods, biometrics has been popularized as it relies on one’s individual behavioral and physical characters. In this context, numerous unimodal and multimodal biometrics have been proposed and tested in the last decade. In this paper, authors have presented a comprehensive survey of the existing biometric systems while highlighting their respective challenges, advantage and limitations. The paper also discusses the present biometric technology market value, its scope, and practical applications in vivid sectors. The goal of this review is to offer a compact outline of various advances in biometrics technology with potential applications using unimodal and multimodal bioinformatics are discussed that would prove to offer a base for any biometric-based future research.

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Biometric-Based Authentication System Using Rough Set Theory

Rough Sets and Current Trends in Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13529-3_60 ◽

2010 ◽

pp. 560-569 ◽

Cited By ~ 3

Author(s):

Hala S. Own ◽

Waheeda Al-Mayyan ◽

Hussein Zedan

Keyword(s):

Set Theory ◽

Rough Set ◽

Rough Set Theory ◽

Authentication System ◽

Biometric Based Authentication

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Advances in Biometrics for Secure Human Authentication System

Biometrics ◽

10.4018/978-1-5225-0983-7.ch077 ◽

2017 ◽

pp. 1834-1852

Author(s):

Jagannath Mohan ◽

Adalarasu Kanagasabai ◽

Vetrivelan Pandu

Keyword(s):

Recent Decade ◽

Biometric Identification ◽

Multimodal Biometrics ◽

Biometric Analysis ◽

Multifactor Authentication ◽

Potential Alternative ◽

Authentication System ◽

Identification Techniques ◽

Electrocardiogram Ecg ◽

Pcg Signals

In the recent decade, one of our major concerns in the global technological society of information security is confirmation that a person accessing confidential information is authorized to perform so. Such mode of access is generally accomplished by a person's confirming their identity by the use of some method of authentication system. In present days, the requirement for safe security in storing individual information has been developing rapidly and among the potential alternative is implementing innovative biometric identification techniques. This chapter discusses how the advent of the 20th century has brought forth the security principles of identification and authentication in the field of biometric analysis. The chapter reviews vulnerabilities in biometric authentication and issues in system implementation. The chapter also proposes the multifactor authentication and the use of multimodal biometrics, i.e., the combination of Electrocardiogram (ECG) and Phonocardiogram (PCG) signals to enhance reliability in the authentication process.

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