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Proceedings Paper

Approximate string matching for stroke direction and pressure sequences
Author(s): Sung-Hyuk Cha; Yong-Chul Shin; Sargur N. Srihari
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Paper Abstract

The problem of Writer Identification based on similarity is formalized by defining a distance between character or word level features and finding the most similar writings or all writings which are within a certain threshold distance. Among many features, we consider stroke direction and pressure sequence strings of a character as character level image signatures for writer identification. As the conventional definition of edit distance is not applicable in essence, we present the newly defined and modified edit distances depending upon their measurement types. Finally, we present a prototype stroke directional and pressure sequence string extractor used on the writer identification. The importance of this study is the attempt to give a definition of distance between two characters based on the two types of strings.

Paper Details

Date Published: 22 December 1999
PDF: 9 pages
Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); doi: 10.1117/12.373481
Show Author Affiliations
Sung-Hyuk Cha, SUNY/Buffalo (United States)
Yong-Chul Shin, SUNY/Buffalo (United States)
Sargur N. Srihari, SUNY/Buffalo (United States)


Published in SPIE Proceedings Vol. 3967:
Document Recognition and Retrieval VII
Daniel P. Lopresti; Jiangying Zhou, Editor(s)

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