IDTrust: Deep Identity Document Quality Detection with Bandpass Filtering

arXiv:2403.00573v1 Announce Type: new
Abstract: The increasing use of digital technologies and mobile-based registration procedures highlights the vital role of personal identity documents (IDs) in verifying users and safeguarding sensitive information. However, the rise in counterfeit ID production poses a significant challenge, necessitating the development of reliable and efficient automated verification methods. This paper introduces IDTrust, a deep-learning framework for assessing the quality of IDs. IDTrust is a system that enhances the quality of identification documents by using a deep …

abstract arxiv automated challenge counterfeit cs.cv detection development digital digital technologies document documents filtering highlights identity information mobile production quality registration role technologies type verification vital