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Proceedings Paper

Extraction of latent images from printed media
Author(s): Vladislav Sergeyev; Victor Fedoseev
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Paper 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.

Paper Details

Date Published: 8 December 2015
PDF: 5 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98750X (8 December 2015); doi: 10.1117/12.2228405
Show Author Affiliations
Vladislav Sergeyev, Samara State Aerospace Univ. (Russian Federation)
Victor Fedoseev, Samara State Aerospace Univ. (Russian Federation)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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