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Selection of Relevant Filter Responses for Extraction of Latent Images from Protected Documents

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Computer Vision and Graphics (ICCVG 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9972))

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Abstract

In this paper we propose a method for automatic selection of relevant filter responses which are used for extraction of latent images from printed documents containing means of protection. In other words, it constitutes a part of the latent image extraction technique developed earlier, which is based on convolving an analyzing document image with an adaptively constructed Gabor filter bank. Previously selection a set of relevant filter responses was performed manually. Therefore the motivation of this paper is to design an automatic procedure for this stage. The proposed procedure consists in joint classification of both magnitude and phase parts of filter responses using specific feature sets. The results of experimental investigations showing high precision of the method are given.

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References

  1. Costantini, M.: A novel phase unwrapping method based on network programming. IEEE Trans. Geosci. Remote Sens. 36(3), 813–821 (1998)

    Article  MathSciNet  Google Scholar 

  2. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B (Methodol.) 39(1), 1–38 (1977)

    MathSciNet  MATH  Google Scholar 

  3. Ghiglia, D.C., Pritt, M.D.: Two-Dimensional Phase Unwrapping: Theory, Algorithms, and Software, vol. 4. Wiley, New York (1998)

    MATH  Google Scholar 

  4. James, G., Witten, D., Hastie, T., Tibshirani, R.: An Introduction To Statistical Learning, vol. 112. Springer, New York (2013)

    Book  MATH  Google Scholar 

  5. Movellan, J.R.: Tutorial on gabor filters. Open Source Document (2002)

    Google Scholar 

  6. van Renesse, R.L.: Hidden and scrambled images: a review. Proc. SPIE 4677, 333–348 (2002)

    Article  Google Scholar 

  7. Sergeyev, V., Fedoseev, V.: Extraction of latent images from printed media. In: Proceedings of SPIE, vol. 9875, pp. 98750X–98750X-5 (2015). http://dx.doi.org/10.1117/12.2228405

  8. Sergeyev, V., Fedoseev, V.: A method for extracting watermarks from textured printed documents. Comput. Opt. 38(4), 825–832 (2014)

    Article  Google Scholar 

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Acknowledgements

This work was supported by RFBR (project No. 15-07-05576) and the Russian Ministry of Education and Science by President’s grant MK-4506.2015.9, state contract 2014/198 (code 2298) and Project 5-100.

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Authors and Affiliations

  1. Samara National Research University, Samara, Russia

    Victor Fedoseev & Elena Mishkina

  2. Image Processing Systems Institute, Russian Academy of Sciences, Samara, Russia

    Victor Fedoseev

Authors
  1. Victor Fedoseev
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  2. Elena Mishkina
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Corresponding author

Correspondence to Victor Fedoseev .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences , Warsaw, Poland

    Leszek J. Chmielewski

  2. Computer Sci and Software Engineering, University of Western Australia , Perth, Australia

    Amitava Datta

  3. Faculty of Applied Informatics and Math, Warsaw University of Life Sciences SGGW , Warsaw, Poland

    Ryszard Kozera

  4. Institute of Computer Science, Silesian University of Technology , Gliwice, Poland

    Konrad Wojciechowski

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Fedoseev, V., Mishkina, E. (2016). Selection of Relevant Filter Responses for Extraction of Latent Images from Protected Documents. In: Chmielewski, L., Datta, A., Kozera, R., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2016. Lecture Notes in Computer Science(), vol 9972. Springer, Cham. https://doi.org/10.1007/978-3-319-46418-3_46

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  • DOI: https://doi.org/10.1007/978-3-319-46418-3_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46417-6

  • Online ISBN: 978-3-319-46418-3

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