Paper
8 December 2015 Extraction of latent images from printed media
Vladislav Sergeyev, Victor Fedoseev
Author Affiliations +
Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98750X (2015) https://doi.org/10.1117/12.2228405
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain
Abstract
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.
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Vladislav Sergeyev and Victor Fedoseev "Extraction of latent images from printed media", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750X (8 December 2015); https://doi.org/10.1117/12.2228405
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image segmentation

Modulation

Image filtering

Optical filters

Phase shift keying

Digital filtering

Feature selection

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