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.

Validity evidence for the Simulated Colonoscopy Objective Performance Evaluation scoring system

2014 ◽  
Vol 207 (2) ◽  
pp. 218-225 ◽  
Author(s):  
Kristen D. Trinca ◽  
Tiffany C. Cox ◽  
Jonathan P. Pearl ◽  
E. Matthew Ritter
Keyword(s):  
Performance Evaluation ◽  
Scoring System ◽  
Validity Evidence ◽  
Objective Performance

Grey Intuitionistic Fuzzy Sets and its Application in Performance Evaluation of Image Fusion

2013 ◽  
Vol 753-755 ◽  
pp. 3033-3038
Author(s):  
Yong Bin You ◽  
Ting Ting Li
Keyword(s):  
Performance Evaluation ◽  
Image Fusion ◽  
Fuzzy Sets ◽  
Membership Function ◽  
Intuitionistic Fuzzy Sets ◽  
Intuitionistic Fuzzy ◽  
Subjective Evaluations ◽  
Correlation Degree ◽  
Objective Performance ◽  
Grey Correlation Degree

As an important branch of multi-sensor information fusion, image fusion has been applied in many areas. During the past years, many algorithms have been proposed to solve the fusion issue. However, research on the objective performance evaluation of image fusion is relatively less. Basic methods for image fusion evaluation usually include subjective evaluations and objective evaluations. The evaluation of fused images is regarded as multi-attribute decision-make problem, thus a novel synthesis approach using grey intuitionistic fuzzy sets is proposed. The proposed approach constructs the membership function and non-membership function by the grey correlation degree, thus the intuitionistic fuzzy sets are established. The results show that the proposed approach has better performance.

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