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Jun 19, 2018 · This paper proposes a sequential quality based framework for biometric authentication. In the proposed framework a set of classifiers have been used to manage ...
To solve this problem, this paper proposes a sequential quality based framework for biometric authentication. In the proposed framework a set of classifiers ...
Findings indicate that the proposed approach provides higher accuracy than the unimodal MOC and MOH by 11.29% and 5.12%, respectively, and can authenticate ...
In the proposed framework a set of classifiers have been used to manage the workflow of the framework based on the quality of samples. Accordingly, subjects can ...
The serial quality multimodal biometric system proposed in [60] achieves an accuracy of 98%. In [61], fingerprints and irises with a modified relief methodology ...
Integration of biometrics into the smart card leads to a strong two-factor authentication system through the match on card (MOC) process. Since MOC uses fixed ...
نویسنده(ها). Mohammad Sabri-Mohammad Shahram Moin and Farbod Razzazi ; زبان مقاله. انگلیسی ; ناشر. ISI-Journal of Signal Processing Systems ; دسته بندی. مقاله ...
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نویسنده(ها):. Mohammad Sabri-Mohammad Shahram Moin and Farbod Razzazi ; منتشرشده در: ISI-Journal of Signal Processing Systems ; نوع مقاله: ژورنال ; پژوهشکده:.
Sep 1, 2022 · This paper proposes a multimodal biometric framework, which is based upon score level fusion of iris, palmprint, and finger-knuckle-print (FKP).
A New Framework for Match on Card and Match on Host Quality Based Multimodal Biometric Authentication. Mohammad Sabri; Mohammad-Shahram Moin; Farbod Razzazi.