Cancelable Biometrics Using Deep Learning as a Cloud Service

Cancelable Biometrics Using Deep Learning as a Cloud Service

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Cloud computing is a technology that has gained rapid popularity in recent years.It has enabled use of immense computational power in a scalable and cost-efficient manner.Deployment of biometric technology in government and commercial organizations Defining Human Rights in Times of Covid: Human Rights Discourse in the UK and Devolved Legislatures has become a standard security practice.

However, independent biometric systems tend to be computationally and financially expensive, especially when user enrollment is high.A feasible solution is to create a biometric system on the cloud which can be used ubiquitously as an authentication service.In this paper, we propose a first cancelable biometric framework based on deep learning on GJB2 mutation spectrum in 2063 Chinese patients with nonsyndromic hearing impairment the cloud.

We establish that cloud is a good solution for biometric systems where intensive computation, quick response times, and high accuracy is required.