Signature Image Improvement with Gradient Adaptive Morphology

Kacper Sarnacki , Marcin Adamski , Khalid Saeed

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.
Author Kacper Sarnacki
Kacper Sarnacki,,
-
, Marcin Adamski (FCS / SD)
Marcin Adamski,,
- Software Department
, Khalid Saeed (FCS / DDMCG)
Khalid Saeed,,
- Department of Digital Media and Computer Graphics
Pages50-58
Publication size in sheets0.5
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 EnglishSignature quality improvement Gradient adaptive morphology Directional field
DOIDOI:10.1007/978-3-030-28957-7_5
Internal identifierROC 19-20
Languageen angielski
Score (nominal)40
Score sourceconferenceList
ScoreMinisterial score = 40.0, 31-03-2020, ChapterFromConference
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