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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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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