Multimodal biometric person recognition system based on fingerprint &amp;amp; Finger-Knuckle-Print using correlation filter classifier

Meraoumia, Abdallah; Chitroub, Salim; Bouridane, Ahmed

doi:10.1109/icc.2012.6363959

Cited by 26 publications

(16 citation statements)

References 8 publications

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“…Filtered classifier is a class for running an arbitrary classifier on data that has been passed through an arbitrary filter. Filtered classifier used Meta filtered classifier gives accuracy 33.33% [14].J48 is a classifier which is implemented by C4.5 algorithm. J48 is an open source java implementation of the C4.5 algorithm in the Weka data mining tool.…”

Section: Discussionmentioning

confidence: 99%

Improved Methods of Heart Rate Monitoring Using Adaptive Filters

2017

IJAERD

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Section: Discussionmentioning

confidence: 99%

Improved Methods of Heart Rate Monitoring Using Adaptive Filters

2017

IJAERD

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“…They allow indexing or filtering of large biometric databases, and are robust to noise. Thus, it provides universal coverage and improves matching accuracy [10,15,26].…”

Section: Biometric Data Enrollmentmentioning

confidence: 99%

Multi-Biometric Systems: A State of the Art Survey and Research Directions

Gad¹,

El-Fishawy²,

El‐Sayed³

et al. 2015

ijacsa

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Abstract-Multi-biometrics is an exciting and interesting research topic. It is used to recognizing individuals for security purposes; to increase security levels. The recent research trends toward next biometrics generation in real-time applications. Also, integration of biometrics solves some of unimodal system limitations. However, design and evaluation of such systems raises many issues and trade-offs. A state of the art survey of multi-biometrics benefits, limitations, integration strategies, and fusion levels are discussed in this paper. Finally, upon reviewing multi-biometrics approaches and techniques; some open points are suggested to be considered as a future research point of interest.

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“…Filtered classifier is a class for running an arbitrary classifier on data that has been passed through an arbitrary filter. Filtered classifier used Meta filtered classifier gives accuracy 33.33% [13].J48 is a classifier which is implemented by C4.5 algorithm. J48 is an open source java implementation of the C4.5 algorithm in the Weka data mining tool.…”

Section: "Figure12 Lms Adaptive Filter"mentioning

confidence: 99%

“…13 shows that the ECG of a speech signal. The ECG signal is the signal that is measure the electrical activity of the heart.…”

mentioning

confidence: 99%