Performance Evaluation of Watermarking Techniques for Secure Multimodal Biometric Systems

2005 ◽  
pp. 635-642 ◽  
Author(s):  
Daesung Moon ◽  
Taehae Kim ◽  
SeungHwan Jung ◽  
Yongwha Chung ◽  
Kiyoung Moon ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Biometric Systems ◽  
Multimodal Biometric Systems

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

Performance evaluation of score level fusion in multimodal biometric systems

2010 ◽  
Vol 43 (5) ◽  
pp. 1789-1800 ◽  
Author(s):  
Mingxing He ◽  
Shi-Jinn Horng ◽  
Pingzhi Fan ◽  
Ray-Shine Run ◽  
Rong-Jian Chen ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Score Level Fusion ◽  
Biometric Systems ◽  
Level Fusion ◽  
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

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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