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pro vyhledávání: '"Meryem Regouid"'
Autor:
Mohamed Benouis, Meryem Regouid
Publikováno v:
020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP).
Human ear recognition presents a rich and stable structure which may be considered as a perfect source of information for identification or verification purpose. Ear is largely used in recent years for recognition purpose. In this study, the authors
© 2019, Springer Science+Business Media, LLC, part of Springer Nature. Combination of multiple information extracted from different biometric modalities in multimodal biometric recognition system aims to solve the different drawbacks encountered in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cc6c39c277762e6750f3ddd21cf2ed7
https://e-space.mmu.ac.uk/622879/
https://e-space.mmu.ac.uk/622879/
Publikováno v:
Biomedical Signal Processing and Control. 64:102226
In this work, an enhanced version of 1D local binary pattern is proposed, for the derivation of the most relevant features for ECG-based human recognition. Generally, ECG signal characteristics by nature impose some notable challenges, mostly related
Autor:
Meryem Regouid, Mohamed Benouis
Publikováno v:
Modelling and Implementation of Complex Systems ISBN: 9783030054809
ECG analysis has been investigated as promising biometric in many fields especially in medical science and cardiovascular disease for last decades in order to exploit the discriminative capability provided by these liveness measures developing a robu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::661c3cdccde0e017325299508a9f7d23
https://doi.org/10.1007/978-3-030-05481-6_13
https://doi.org/10.1007/978-3-030-05481-6_13