基于启发式方法的基于深度学习模型的最优混合模式安全多模型生物识别

IF 2.5 4区 计算机科学 Q3 TELECOMMUNICATIONS
Samatha J, Madhavi Gudavalli
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引用次数: 0

摘要

本文提出了一种基于深度学习的多模态生物识别隐私保护方法。在这里,指纹、虹膜和人脸在初始阶段被聚合并馈送到最优混合模式,其中使用了局部梯度模式和局部韦伯模式。因此,从指纹、面部和虹膜的两种不同技术中获得了两组模式。这里使用Cheetah Optimizer (FRNCO)中的适应度辅助随机数进行优化,也用于选择最优像素以获得最优图案。进一步,使用这三个模式图像来获得基于直方图的特征,其中使用相同的FRNCO模型进行优化。然后将其转发到最终的深度贝叶斯网络(DBN),并使用称为DB-GRU方法的门控循环单元(GRU)来获取分类结果。对已设计的模型进行同化,以识别已开发模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Secure Multi-Model Biometrics Using Deep Learning Model Based-Optimal Hybrid Pattern by the Heuristic Approach

A Secure Multi-Model Biometrics Using Deep Learning Model Based-Optimal Hybrid Pattern by the Heuristic Approach

A new Deep Learning (DL)-based privacy preservation method using multimodal biometrics is implemented in this work. Here, the fingerprint, iris, and face are aggregated in the initial phase and fed to the Optimal Hybrid Pattern, where the Local Gradient Pattern and Local Weber Pattern are used. Thus, two sets of patterns from two diverse techniques for fingerprint, face, and iris are attained. Here, the Fitness-aided Random Number in Cheetah Optimizer (FRNCO) is used for optimization and also used for selecting the optimal Pixels to attain the optimal pattern. Further, these three pattern images are used to attain the histogram-based features, where the same FRNCO model is used for optimization. It is then forwarded to the final Deep Bayesian Network (DBN) with a Gated Recurrent Unit (GRU) termed the DB-GRU approach for acquiring the classified outcomes. The designed model is assimilated to recognize the efficacy of the developed model.

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来源期刊
CiteScore
8.90
自引率
13.90%
发文量
249
期刊介绍: ransactions on Emerging Telecommunications Technologies (ETT), formerly known as European Transactions on Telecommunications (ETT), has the following aims: - to attract cutting-edge publications from leading researchers and research groups around the world - to become a highly cited source of timely research findings in emerging fields of telecommunications - to limit revision and publication cycles to a few months and thus significantly increase attractiveness to publish - to become the leading journal for publishing the latest developments in telecommunications
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