Review on Multimodal Biometric (original) (raw)

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...

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.

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 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.

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...

Novel Framework for Multimodal Biometric Person Authentication System: A Review

Multimodal biometric system verifies a person’s identity victimization additional than one physiological (face, fingerprint) or behavioral biometric traits (voice, signature). This kind of system aims to extend the irresponsibleness of the biometric system additionally and will increase the security level once compared to the systems developed victimization single biometric attribute. The fusion Uni- multimodal biometric system will take place at varied levels. The Multimodal systems that area unit already existing are face and ear, iris and fingerprint, palm prints and face, etc. Multimodal biometric system developed victimization fingerprint, hand pure mathematics needed the operator to form physical contact with a sensing device. This paper will reviews the two multimodal biometrics i.e. Iris and Ear biometrics in detail with features extraction method and also the recognition process.

MULTIMODAL BIOMETRIC SYSTEM USING THREE BIOMETRIC TRAITS

In our day to day life, the automatic verification of person is a very important task. The traditional method of establishing a person’s identity include knowledge based like password or token b ased like ID cards, but representation of these identity can easily be lost, stolen or shared. So for authentication of a person some biometric characters of that person is used. For that purpose one or more biometric characters can be used. But using one character may sometime prove less secure so more than one characters are used. Sometimes it is possible that some people with some disability may not register or authenticate himself, in that case multimodl biometrics is essential. Some research and securi ty re lated issues are mentioned here .

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.

MULTIMODAL BIOMETRIC SYSTEMS – STUDY TO IMPROVE ACCURACY AND PERFORMANCE

Biometrics is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data, and comparing this set against to the template set in the database. Experimental studies show that Unimodal biometric systems had many disadvantages regarding performance and accuracy. Multimodal biometric systems perform better than unimodal biometric systems and are popular even more complex also. We examine the accuracy and performance of multimodal biometric authentication systems using state of the art Commercial Off-The-Shelf (COTS) products. Here we discuss fingerprint and face biometric systems, decision and fusion techniques used in these systems. We also discuss their advantage over unimodal biometric systems.