Abstract

This paper developed a method for performing Image Quality Assessment (IQA) on ID-card images. First, we built the dataset, consisting of 204 images from Chilean ID cards, containing real and tampered images with varying quality levels. Then, we evaluated different features, obtaining the best results using the BRISQUE features and a newly trained SVR, with an R-2 score of 0.5868. This proposed method is called BRISQUE-ID. The IQA on ID cards can be used as a pre-processing stage for discarding lousy quality images and helping the subsequent steps in the processing pipeline.