IDTrust introduces a deep-learning framework for assessing the quality of identification documents, enhancing dataset applicability and accuracy in distinguishing between original and scanned IDs.
The author introduces IDTrust, a deep-learning framework that enhances the quality of identification documents by utilizing bandpass filtering. The approach eliminates the need for original document patterns and pre-processing steps, offering significant improvements in dataset applicability.