Extraction of latent images from printed media
Vladislav V. Sergeyev, Victor Fedoseev · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2015
In this paper we propose an automatic technology for extraction of latent images from printed media such as documents, banknotes, financial securities, etc. This technology includes image processing by adaptively constructed Gabor filter bank for obtaining feature images, as well as subsequent stages of feature selection, grouping and multicomponent segmentation. The main advantage of the proposed technique is versatility: it allows to extract latent images made by different texture variations. Experimental results showing performance of the method over another known system for latent image extraction are given.