Theses and Dissertations
Date of Award
5-2024
Document Type
Thesis
Degree Name
M.S.
Department
Computer and Information Science
Committee Chair
Ryan G. Benton
Abstract
This study tests the effectiveness of Multi-Script Handwriting Identification after simplifying character strokes, by segmenting them into sub-parts. Character simplification is performed through splitting the character by branching-points and end-points, a process called stroke fragmentation in this study. The resulting sub-parts of the character are called stroke fragments and are evaluated individually to identify the writer. This process shares similarities with the concept of stroke decomposition in Optical Character Recognition which attempts to recognize characters through the writing strokes that make them up. The main idea of this study is that the characters of different writing‑scripts (English, Chinese, etc.) may have common shapes which can be extracted and used in the handwriting identification process. The effectiveness of the stroke fragmentation described in this study is tested on the Chinese-English Database from the University of Groningen. While not achieving state of the art performance, the results of this study imply that simplifying characters shows promise in use for handwriting identification.
Recommended Citation
Thomas, Joshua Jude, "Multi-Script Handwriting Identification by Fragmenting Strokes" (2024). Theses and Dissertations. 185.
https://jagworks.southalabama.edu/theses_diss/185
Included in
Graphics and Human Computer Interfaces Commons, Information Security Commons, Other Computer Sciences Commons, Systems Architecture Commons