使用带有切口的NASNet进行手指静脉识别

2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) Pub Date : 2021-11-16 DOI:10.1109/ISPACS51563.2021.9650980

I. S. Wang, Hung-Tse Chan, Chih-Hsien Hsia

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引用次数: 7

摘要

传统的信息安全系统使用可能被破译或被盗的密码或身份证。为了提高个人信息的安全性，人们开发了许多方法，例如用手指静脉识别来取代传统的识别方法。本研究提出了一个数据增强(DA)和一个神经结构搜索网络(NASNet)。实验表明，该方法在FV-USM公共数据集上的准确率为98.89%。

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Finger-Vein Recognition Using a NASNet with a Cutout

Traditional information security systems use passwords or identification cards that might be deciphered or stolen. Many methods have been developed to improve the security of personal information, such as the finger-vein recognition to replace traditional recognition. This study proposes a cutout for data augmentation (DA) and a neural architecture search network (NASNet). Experiments show that the proposed method is 98.89% accurate for the FV-USM public dataset.

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2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)

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