Multi-Modal Biometrics Systems: Concepts, Strengths, Challenges and Solutions

2021 ◽  
Vol 10 (3) ◽  
pp. 1827-1831
Keyword(s):  
Computer Security ◽  
Multimodal Biometrics ◽  
Security Systems ◽  
Biometric Technology ◽  
Biometric Systems ◽  
Password Based Authentication ◽  
Multimodal Biometric Systems

Authentication is a very important aspect of computer security. Most systems employ strategies such as Password-based authentication, Multi-factor authentication, Certificate based authentication which are accompanied with a lot ofchallenges. To address this issue, most security systems have introduced the use of biometrics for authentication. Unimodal biometrics systems have many limitations regarding performance and accuracy. The use of Multimodal biometrics systems for authentication is recently attracting the attention of researchers due to its capacity to overcome most of the drawbacks of Unimodal biometric systems. This paper focuses on the use of biometric technology for authentication. The strengths of multimodal biometric systems, together with the challenges of multimodal biometric systems are presented. The paper also suggests solutions to the challenges of multimodal biometric systems.

Analytical Review of Biometric Technology Employing Vivid Modalities

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.

Biometric Spoofing and Anti-Spoofing

2017 ◽  
pp. 121-139
Author(s):  
Zahid Akhtar
Keyword(s):  
Large Scale ◽  
Security Requirements ◽  
Security Systems ◽  
Comprehensive Overview ◽  
Research Directions ◽  
Person Recognition ◽  
Biometric Systems ◽  
Prime Objective ◽  
Recognition Systems ◽  
Multimodal Biometric Systems

The demand for reliable and robust person recognition systems has expanded due to intense security requirements in today's highly intertwined network society. The advantages of biometrics over traditional security systems have triggered large-scale deployment of biometrics as an authentic technique to determine the identity of an individual. The prime objective of such methods is to assure that the systems are only accessed by genuine users. Since, biometric traits are overt, leading thus to a threat of them being captured, copied, and forged. Numerous techniques have been developed over the years for biometric spoofing and anti-spoofing. The goal of this chapter is to provide a comprehensive overview on works in the field of spoofing and anti-spoofing with special attention to three mainly accepted biometric traits (i.e., fingerprint, face and iris) and multimodal biometric systems. We also present the key challenges, major issues and point out some of the salient and useful research directions.

Review and Applications of Multimodal Biometrics for Secured Systems

2017 ◽  
pp. 251-266
Author(s):  
Chitra Anil Dhawale
Keyword(s):  
Access Control ◽  
Biometric Identification ◽  
Control Methods ◽  
Biometric Recognition ◽  
Multimodal Biometrics ◽  
Multimodal Systems ◽  
Average Accuracy ◽  
Biometric Systems ◽  
Electronic Access ◽  
Multimodal Biometric Systems

Biometric Systems provide improved security over traditional electronic access control methods such as RFID tags, electronic keypads and some mechanical locks. The user's authorized card or password pin can be lost or stolen. In order for the biometrics to be ultra-secure and to provide more-than-average accuracy, more than one form of biometric identification is required. Hence the need arises for the use of multimodal biometrics. This uses a combination of different biometric recognition technologies. This chapter begins with the basic idea of Biometrics, Biometrics System with its components, Working and proceeds with the need of Multimodal Biometrics with the emphasis on review of various multimodal systems based on fusion ways and fusion level of various features. The last section of this chapter describes various multimodal Biometric Systems.

scholarly journals A Survey on Unimodal, Multimodal Biometrics and Its Fusion Techniques

2018 ◽  
Vol 7 (4.36) ◽  
pp. 689 ◽  
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.  

Performance of Multimodal Biometric Systems Using Face and Fingerprints (Short Survey)

2021 ◽  
Author(s):  
Mohamed Abdul-Al ◽  
George Kumi Kyeremeh ◽  
Naser Ojaroudi Parchin ◽  
Raed A Abd-Alhameed ◽  
Rami Qahwaji ◽  
...  
Keyword(s):  
Short Survey ◽  
Biometric Systems ◽  
Multimodal Biometric Systems

scholarly journals Multimodal Biometric Systems - Study to Improve Accuracy and Performance

2010 ◽  
Vol 1 (2) ◽  
pp. 54-61 ◽  
Author(s):  
K Sasidhar ◽  
Vijaya L Kakulapati ◽  
Kolikipogu Ramakrishna ◽  
K KailasaRao
Keyword(s):  
Biometric Systems ◽  
Improve Accuracy ◽  
And Performance ◽  
Multimodal Biometric Systems

Analyzing the Security Susceptibilities of Biometrics Integrated with Cloud Computing

2015 ◽  
pp. 192-208
Author(s):  
John R. Regola ◽  
John K. Mitchell III ◽  
Brandon R. Baez ◽  
Syed S. Rizvi
Keyword(s):  
Cloud Computing ◽  
Sensitive Information ◽  
Security Systems ◽  
New Developments ◽  
Biometric Technology ◽  
Biometric Security ◽  
Design Considerations ◽  
Computing Paradigm ◽  
Structure And Design ◽  
Comprehensive Discussion

In the present scenario, the vulnerabilities associated with cloud computing and biometric technology rank among the most vital issues in information security. In this chapter, the primary goal is to investigate the physical and informational security susceptibilities of biometrics, analyze the structure and design possibilities of the cloud, and examine the new developments of biometrics with cloud computing. Foremost, the authors analyze the developments of biometrics and compare the performance based on defining characteristics. In addition, they examine threats and attacks that can compromise the assets of an organization or an individual's sensitive information. Furthermore, this chapter provides a comprehensive discussion on the physical vulnerabilities of biometrics. Moreover, one section of this chapter focuses on the informational and database vulnerabilities. In this chapter, the authors also discuss the design considerations and cloud computing paradigm in relation to biometric security systems.

Verification of Multimodal Biometric

2018 ◽  
pp. 147-193
Author(s):  
Shashidhara H. R. ◽  
Siddesh G. K.
Keyword(s):  
Multimodal Systems ◽  
Biometric Systems ◽  
Physical Traits ◽  
Reliability And Robustness ◽  
Secure Authentication ◽  
Physical Trait ◽  
Multimodal Biometric Systems

Authenticating the identity of an individual has become an important aspect of many organizations. The reasons being to secure authentication process, to perform automated attendance, or to provide bill payments. This need of providing automated authentication has led to concerns in the security and robustness of such biometric systems. Currently, many biometric systems that are organizations are unimodal, which means that use single physical trait to perform authentication. But, these unimodal systems suffer from many drawbacks. These drawbacks can be overcome by designing multimodal systems which use multiple physical traits to perform authentication. They increase reliability and robustness of the systems. In this chapter, analysis and comparison of multimodal biometric systems is proposed for three physical traits like iris, finger, and palm. All these traits are treated independently, and feature of these traits are extracted using two algorithms separately.

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