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.
CITATION STYLE
Sarnacki, K., Adamski, M., & Saeed, K. (2019). Signature image improvement with gradient adaptive morphology. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11703 LNCS, pp. 50–58). Springer Verlag. https://doi.org/10.1007/978-3-030-28957-7_5
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