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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 × 2

Rights

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

Chain of custody

source
Harvested from
Eastern Washington University
Base URL
dc.ewu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

McInnis, David A.. Glyph based segmentation of Chinese calligraphy characters in the "Collected Characters" stele.. Thesis thesis, 2018. https://dc.ewu.edu/theses/513