Signature Image Improvement with Gradient Adaptive Morphology
Kacper Sarnacki , Marcin Adamski , Khalid Saeed
AbstractThe 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.
|Publication size in sheets||0.5|
|Book||Saeed Khalid, Rituparna Chaki, Janev Valentina (eds.): Computer Information Systems and Industrial Management : 18th International Conference : CISIM 2019 : proceedings, Lecture Notes In Computer Science, no. 11703, 2019, Springer, ISBN 978-3-030-28956-0, 540 p., DOI:10.1007/978-3-030-28957-7|
|Keywords in English||Signature quality improvement Gradient adaptive morphology Directional field|
|Internal identifier||ROC 19-20|
|Score||= 40.0, 31-03-2020, ChapterFromConference|
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