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Signature Image Improvement with Gradient Adaptive Morphology

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Computer Information Systems and Industrial Management (CISIM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11703))

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Abstract

The paper presents a method for improving signature images, by using a directional field guided morphology. The method adapts a circular or linear structural element and its orientation. There is presented the comparison of the algorithm with the results of binarization process and with the existing post-processing algorithms, such as the morphological opening, closing and median filtering. The experiments show that the authors’ method significantly improves the quality of images by removing unwanted artifacts.

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Acknowledgements

This work was partially supported by grant S/WI/2/2018 from Białystok University of Technology and funded with resources for research by the Ministry of Science and Higher Education in Poland.

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Authors and Affiliations

  1. Warsaw University of Technology, Warsaw, Poland

    Kacper Sarnacki

  2. Bialystok University of Technology, Bialystok, Poland

    Marcin Adamski & Khalid Saeed

Authors
  1. Kacper Sarnacki
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  2. Marcin Adamski
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  3. Khalid Saeed
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Corresponding author

Correspondence to Marcin Adamski .

Editor information

Editors and Affiliations

  1. Bialystok University of Technology, Bialystok, Poland

    Khalid Saeed

  2. University of Calcutta, Calcutta, India

    Rituparna Chaki

  3. Mihajlo Pupin Institute, Belgrade, Serbia

    Valentina Janev

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Sarnacki, K., Adamski, M., Saeed, K. (2019). Signature Image Improvement with Gradient Adaptive Morphology. In: Saeed, K., Chaki, R., Janev, V. (eds) Computer Information Systems and Industrial Management. CISIM 2019. Lecture Notes in Computer Science(), vol 11703. Springer, Cham. https://doi.org/10.1007/978-3-030-28957-7_5

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  • DOI: https://doi.org/10.1007/978-3-030-28957-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28956-0

  • Online ISBN: 978-3-030-28957-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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