Eastern Washington University
Glyph based segmentation of Chinese calligraphy characters in the "Collected Characters" stele.
Abstract
dc:description.abstract<p>Text character segmentation is the process of detecting the bounding box position of individual characters within a written text document image. The character segmentation problem remains extremely difficult for ancient Chinese calligraphy documents. This paper examines a glyph-based segmentation technique for segmenting Chinese Calligraphy characters in the "Collected Characters". The glyph-based character segmentation pipeline utilizes a combination of well-understood image processing techniques in a novel pipeline which is able to detect Chinese calligraphy characters from ink-blots with a good reliability.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS) in Computer Science
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Computer Science
- Year
- 2018
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- McInnis, David A.
Subjects
dc:subject × 2Rights
dc:rights- Statement dc:rights
-
- Access is available to all users
Identifiers
dc:identifier.*- Repository record dc:identifier
- https://dc.ewu.edu/theses/513
- OAI identifier oai:identifier
- oai:dc.ewu.edu:theses-1515