Multimodal Belief Fusion for Face and Ear Biometrics

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Intelligent Information Management

ISSN Print: 2160-5912
ISSN Online: 2160-5920
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E-mail: iim@scirp.org

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"Multimodal Belief Fusion for Face and Ear Biometrics"
written by Dakshina Ranjan KISKU, Phalguni GUPTA, Hunny MEHROTRA, Jamuna Kanta SING,
published by Intelligent Information Management, Vol.1 No.3, 2009

has been cited by the following article(s):

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CrossRef

[1]	A deep learning approach for person identification using ear biometrics
	2021

[2]	Multimodal biometric system using deep learning based on face and finger vein fusion
	2021

[3]	生物特征识别学科发展报告
	2021

[4]	Robust Multimodal Biometric System Based on Feature Level Fusion of Optimiseddeepnet Features
	Wireless Personal Communications, 2021

[5]	A hybrid model combining learning distance metric and DAG support vector machine for multimodal biometric recognition
	2020

[6]	Ear Recognition System Using Random Forest and Histograms of Oriented Gradients Techniques
	2020

[7]	An Overview of Multimodal Biometrics Using the Face and Ear
	2020

[8]	Subjective Logic Based Score Level Fusion: Combining Faces and Fingerprints
	2018

[9]	Bezier Cohort Fusion in Doubling States for Human Identity Recognition with Multifaceted Constrained Faces
	Arabian Journal for Science and Engineering, 2018

[10]	An Evaluation of Score Level Fusion Approaches for Fingerprint and Finger-vein Biometrics
	The 10th Norwegian Information Security Conference, 2017

[11]	A new approach for multi-biometric fusion based on subjective logic
	IML 2017 Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017

[12]	Active Authentication Using Behavioral Biometrics and Machine Learning
	2016

[13]	Ear Recognition: More Than a Survey
	2016

[14]	Multimodal Biometric Systems–A Roadmap to Improve Performance and Accuracy
	International Journal of Engineering Research & Technology, 2016

[15]	Dual-sensor approaches for real-time robust hand gesture recognition
	2015

[16]	Multimodal Recognition Method based on Ear and Profile Face Feature Fusion
	2015

[17]	Identifying users with application-specific command streams
	Privacy, Security and Trust (PST), 2014 Twelfth Annual International Conference on. IEEE, 2014

[18]	Score-Level Multibiometric Fusion Based on Dempster–Shafer Theory Incorporating Uncertainty Factors
	2014

[19]	Hyperspectral biometrics for facial mode: An alternate approach to multimode method
	Intelligent Systems and Control (ISCO), 2014 IEEE 8th International Conference on, 2014

[20]	Multilevel Security Using Score-Level Fusion Of Face And Ear-Based Biometric Modalities
	International journal of engineering research and technology, 2014

[21]	A survey on ear biometrics
	ACM Computing Surveys (CSUR), 2013

[22]	A robust face and ear based multimodal biometric system using sparse representation
	Pattern Recognition, 2013

[23]	Efficient person authentication based on multi-level fusion of ear scores
	IET biometrics, 2013

[24]	Human identification at a distance using iris and face
	NULL 2013

[25]	Efficient person authentication based on multi‐level fusion of ear scores
	IET biometrics, 2013

[1]	Data Science and Communication Studies in Autonomic, Data-driven and Industrial Computing, 2024 DOI:10.1007/978-981-99-5435-3_19

[2]	Robust Multimodal Biometric System Based on Feature Level Fusion of Optimiseddeepnet Features Wireless Personal Communications, 2022 DOI:10.1007/s11277-021-09075-x

[3]	Multimodal biometric system using deep learning based on face and finger vein fusion Journal of Intelligent & Fuzzy Systems, 2022 DOI:10.3233/JIFS-189762

[4]	A Hybrid Model Combining Learning Distance Metric and DAG Support Vector Machine for Multimodal Biometric Recognition IEEE Access, 2021 DOI:10.1109/ACCESS.2020.3035110

[5]	An Overview of Multimodal Biometrics Using the Face and Ear Mathematical Problems in Engineering, 2020 DOI:10.1155/2020/6802905

[6]	Subjective Logic Based Score Level Fusion: Combining Faces and Fingerprints 2018 21st International Conference on Information Fusion (FUSION), 2018 DOI:10.23919/ICIF.2018.8455860

[7]	A new approach for multi-biometric fusion based on subjective logic Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017 DOI:10.1145/3109761.3158409

[8]	Ear recognition: More than a survey Neurocomputing, 2017 DOI:10.1016/j.neucom.2016.08.139

[9]	A new approach for multi-biometric fusion based on subjective logic Proceedings of the 1st International Conference on Internet of Things and Machine Learning, 2017 DOI:10.1145/3109761.3158409

[10]	Score-Level Multibiometric Fusion Based on Dempster–Shafer Theory Incorporating Uncertainty Factors IEEE Transactions on Human-Machine Systems, 2015 DOI:10.1109/THMS.2014.2361437

[11]	Hyperspectral biometrics for facial mode: An alternate approach to multimode method 2014 IEEE 8th International Conference on Intelligent Systems and Control (ISCO), 2014 DOI:10.1109/ISCO.2014.7103925

[12]	Identifying users with application-specific command streams 2014 Twelfth Annual International Conference on Privacy, Security and Trust, 2014 DOI:10.1109/PST.2014.6890944

[13]	A robust face and ear based multimodal biometric system using sparse representation Pattern Recognition, 2013 DOI:10.1016/j.patcog.2013.01.022

[14]	A robust face and ear based multimodal biometric system using sparse representation Pattern Recognition, 2013 DOI:10.1016/j.patcog.2013.01.022

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