Deep Learning in Biometrics: A Survey
Deep Learning in Biometrics: A Survey
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DOI：
10.14201/adcaij2019841932
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发表时间：
2019-09
期刊：
影响因子：
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通讯作者：
Alberto Botana López
中科院分区：
文献类型：
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作者：
Alberto Botana López
在过去几年中，深度学习已被确立为数据处理的黄金标准，在图像、文本和音频理解方面实现了最佳性能。与此同时，数字安全在当今时代至关重要，每个人都可以进入我们的个人设备，如手机或笔记本电脑，我们存储最有价值的信息。防止这种情况的可能方法之一是通过先进的个性化安全：生物识别技术。在这项调查中，我们考虑了如何将深度学习领域的科学进步应用于生物识别技术，以加强对我们数据的保护。
Deep learning has been established in the last few years as the gold standard for data processing, achieving peak performance in image, text and audio understanding. At the same time, digital security is of utmost importance in this day and age, where everyone could get into our personal devices like cellphones or laptops, where we store our most valuable information. One of the possible ways to prevent this is via advanced and personalized security: biometrics. In this survey, it is considered how the scientific advances in the field of deep learning are applied to biometrics in order to enhance the protection of our data.