Multimodal Authentication System: An Overview Multimodal Authentication System: An Overview (original) (raw)

A STUDY OF MULTIMODAL BIOMETRIC SYSTEM

Biometrics is a technique by which an individual's identity can be authenticated by applying the physical or behavioral trait. Physical traits, like fingerprints, face, iris etc. are based on physical characteristics which are generally inherent and stable. Behavioral traits, like voice, signature or keystroke dynamics etc. on the other hand, is a quantifiable characteristic. That is obtained over time and is subject to deliberate alteration. Unimodal biometric systems developed for each of these biometric features may not always meets the required performance. The methods are analyzed to integrate the various features together to acquire a multi-modal biometric system. The recent research reveals that multi-modal biometric system is more effective in authentication. The objective of this paper is to highlight the importance of the use of multimodal biometrics in the area of secure person authentication. This study provides a different perception to use biometrics as a highest level of network security with the fusion of multiple biometric modalities.

Multimodal biometric system: A review

International Journal of Research in Advanced Engineering and Technology , 2018

The procedure by which a person's identity can be authenticated by applying the physical or behavioral trait is called Biometric. Physical traits, similar to fingerprints, face, iris and so on depend on physical characteristics which are by and large inborn and stable. Behavioral traits, similar to voice, signature or keystroke and so on then again, is a quantifiable characteristic. That is acquired after some time and is liable to think change. Unimodal biometric systems created for each of these biometric features may not generally meet the required performance. The techniques are broke down to incorporate the different features together to obtain a multimodal biometric system. The current research uncovers that multimodal biometric system is more viable in authentication. The goal of this paper is to highlight the significance of the utilization of multimodal biometrics in the area of secure individual confirmation. This paper gives an alternate discernment to utilize biometrics as a largest amount of system security with the combination of numerous biometric modalities.

Review on Multimodal Biometric

—A biometric ,system has been the important affordable and more reliable system .A biometrics identification system is refers to the automatic recognition of individual person based on their characteristics. Early authentication method like which can be stolen or shared by with other person. Biometric has two modals ,unimodals and multimodals .Inunimodol system , it has disadvantages due to lack of its non –versality and unacuptable error rate .To overcome these unimodal issues multimodals is better approach for combining two or more features of person like for sirisdetetmines a authentication (i.e. identification and verification) this paper that characterstics ,types and biometrics ,fusion levels and research areas etc.

Comparative Analysis of Multimodal Biometric System

2018

Networked environment provides legion of resources but also causing uncertainties due to crimes like computer hacking, illegal access of ATM and cell phone, security is the prime requirement. To overcome this barrier, biometric techniques are used as authentication technique to prevent unauthorized access. Biometric system kind of a method to scrutinize exclusive physical or behavioural traits to determine individual's identity. In this study ,providing the review comparison multimodal biometric system which provide additional accuracy as compared to unimodal biometric systems. The system of concern takes the input either from single or multiple sources and verifies it against the historical information stored within the dataset. This technology uses more than one biometric identifier to compare the identity of the individual. Thus, the system uses three technologies i.e. face, mimic along voice and if any one of this technology is not able to identify, the system scan still use...

Review and Applications of Multimodal Biometrics for Secured Systems

Advanced Image Processing Techniques and Applications, 2000

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.

Comparative Analysis of Multimodal Biometrics

2017

Unimodal biometrics usage has certain limitations like no universality and sensitivity to attack. Multimodal biometrics assures better accuracy and development of a stringent system to protect data from unauthorized user access. In multi modal biometric systems, the biometric traits are fused at different levels like feature level, match score level, decision level with the help of various fusion methodologies; some of which can be listed as concatenation, weighted summation, product, min, max, majority voting etc. This paper summarizes work published by different researchers on multi biometric systems with respect to modalities, fusion ways, fusion levels, database, dataset size, algorithms, performance, etc. The paper concludes with future direction in the security measures using multimodal biometric systems. Critical analysis of various kinds of work is done with respect to factors like modalities, fusion approaches, database, performance and suggestions are given for future rese...

Multimodal Biometric Authentication System: Challenges and Solutions

Global journal of computer science and technology, 2011

Biometric technologies are automated methods for measuring and analyzing biological data, extracting a feature set from acquired data and comparing this set against to the templates set in the database. Unimodal biometric system have variety of problems such as noisy data, spool attacks etc. Multimodal biometrics refers the combination of two or more biometric modalities in a single identification. Most biometric verification systems are done based on knowledge base and token based identification these are prone to fraud. Biometric authentication employs unique combinations of measurable physical characteristics-fingerprint, facial features , iris of the eye, voice print and so on-that cannot be readily imitated or forged by others. This paper discuss the various scenarios that are possible in multi model biometric system , the level of fusion that are plausible and the integration strategic that can be adopted to consolidate information. Fusion methods include processing biometric madalitics sequential until an acceptable match is obtained.

Multimodal Biometric Systems: A Review

2018

The need for biometrics is rising with an increased need for security in every organization of the world. Every attribute, fingerprint, iris, knuckle print, face, palm print, is unique to an individual and can aid in recognition. Unimodal biometric systems involve the use of a single biometric attribute for identification. However, with the rise of duping, there is a requirement for constructing an efficient system using multiple biometric attributes. In multimodal systems, fusion of various biometric identities into a single vector is done using algorithms. This paper covers several different techniques used for biometric authentication. These use varying numbers of attributes. Our future project focuses on the research of different techniques of multimodal recognition in order to devise a technique that is robust and has an increased efficiency in recognition and identification.

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

International Journal of Advanced Trends in Computer Science and Engineering , 2021

Authentication is a very important aspect of computer security. Most systems employ strategies such as Passwordbased authentication, Multi-factor authentication, Certificate based authentication which are accompanied with a lot of challenges. 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.

A Review Of Multimodal Biometric Authentication Systems

Authentication is the process of validating the identity of a person based on certain input that the person provides. Authentication has become a major topic of research due to the increasing number of attacks on computer networks around the globe. This review paper focuses on multimodal biometric authentication systems in use today. The aim is to elicit the best combination of authentication factors for multimodal use. We study the strengths and weakness of selected biometric mechanisms and recommend novel solutions to include in multimodal biometric systems to improve on the current biometric drawbacks. We believe this paper will provide security researchers some useful insight whilst designing better biometric systems.