A Method of Fluorescent Fibers Detection on Identity Documents under Ultraviolet Light
This work addresses a domain-specific problem for document verification, but it is incremental as it adapts existing ridge detection techniques to a specific application.
The paper tackled the problem of detecting fluorescent security fibers on identity documents under ultraviolet light, particularly for Russian passports, by proposing a ridge detection method on grayscale images with normalized background, which achieved reliable and stable detection on a private dataset.
In this work we consider the problem of the fluorescent security fibers detection on the images of identity documents captured under ultraviolet light. As an example we use images of the second and third pages of the Russian passport and show features that render known methods and approaches based on image binarization non applicable. We propose a solution based on ridge detection in the gray-scale image of the document with preliminary normalized background. The algorithm was tested on a private dataset consisting of both authentic and model passports. Abandonment of binarization allowed to provide reliable and stable functioning of the proposed detector on a target dataset.