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.

Contemporary Biometric System Design

2020 ◽  
pp. 292-324
Author(s):  
Himanshu Purohit ◽  
Pawan K Ajmera
Keyword(s):  
Artificial Intelligence ◽  
Noisy Data ◽  
Error Rates ◽  
Biometric System ◽  
Behavioral Traits ◽  
Biometric Systems ◽  
Physical Traits ◽  
Multiple Scenarios ◽  
Different Levels ◽  
Multimodal Biometric Systems

Individual's Identity Authentication depends on physical traits like face, iris, and fingerprint, etc., or behavioral traits like voice and signature. With the rapid advancement in the field of biometrics, multimodal biometric systems are replacing unimodal biometric systems. As the application of molecular biometric system removes certain errors like noisy data, interclass variations, spoof attacks, and unacceptable error rates as compared to unimodal biometric systems. Even the possibilities of multiple scenarios present in multimodal biometric systems are quite helpful for the consolidation of information using different levels of fusion. In this chapter, the authors try to analyze the technological change which is present due to growing field of biometrics with artificial intelligence and undergone a thorough research for multimodal biometric systems for effective authentication purpose. This study is quite helpful for getting different perception for the use of biometrics as a highest level of network security due to the fusion of many different modalities.

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.

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

4. Enhancing biometric processing

2018 ◽  
pp. 74-89
Author(s):  
Michael Fairhurst
Keyword(s):  
System Performance ◽  
Data Integrity ◽  
Practical Situation ◽  
Biometric Data ◽  
Soft Biometrics ◽  
Multimodal Systems ◽  
Biometric Systems ◽  
Main Ideas

‘Enhancing biometric processing’ explores how the field of biometrics is developing, and the main ideas promoting the improvement of the accuracy, reliability, and effectiveness of biometric systems. It is unlikely that any individual biometric modality operating alone will completely meet all the desirable criteria for a given task, especially when the variety of issues that are needed are considered in any practical situation. To improve system performance different systems can be used such as adding extra power using a multiclassifier configuration, increasing flexibility using multimodal systems, and using soft biometrics as additional identity evidence. Resistance to ‘spoofing’ attacks, biometric data integrity, and extending the application domains for biometrics-based processing are also considered.

Beyond objective performance evaluation in multimodal biometric systems

2007 ◽  
Vol 62 (1-2) ◽  
pp. 156-176
Author(s):  
Doroteo T. Toledano ◽  
Álvaro Hernández Trapote ◽  
David Díaz Pardo de Vera ◽  
Rubén Fernández Pozo ◽  
Luis Hernández Gómez
Keyword(s):  
Performance Evaluation ◽  
Objective Performance ◽  
Biometric Systems ◽  
Multimodal Biometric Systems
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