Image Patch Extraction in Text Area of Balinese Palm Leaf Manuscripts with Gabor Filters

DOI

10.2991/assehr.k.200115.004How to use a DOI?

Keywords

image patch extraction, text area detection, Gabor filter, palm leaf manuscript, Balinese script

Abstract

In an effort to build a word spotting and indexation system for the Balinese palm leaf manuscripts, text area detection and image patch extraction in the text area must be done effectively. However, there is no space between words in writing with Balinese scripts. This paper aimed at describing a complete scheme to detect the text area in a Balinese palm-leaf manuscript image and to extract all possible image patches in the manuscript. Gabor filters provide initial information about the document’s of text textures. A sliding window algorithm is proposed and is optimized to be able to optimally extract the image patches only in the text line area of the Gabor filtered images. The results show that the combination of Gabor filter with the optimized sliding window algorithm is effectively able to detect and to extract image patches from the text area of the Balinese palm leaf manuscripts.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Made Windu Antara Kesiman
AU  - Gede Aditra Pradnyana
PY  - 2020
DA  - 2020/01/20
TI  - Image Patch Extraction in Text Area of Balinese Palm Leaf Manuscripts with Gabor Filters
BT  - Proceedings of the 3rd International Conference on Innovative Research Across Disciplines (ICIRAD 2019)
PB  - Atlantis Press
SP  - 19
EP  - 23
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.200115.004
DO  - 10.2991/assehr.k.200115.004
ID  - Kesiman2020
ER  -