Paper
22 December 1999 Approximate string matching for stroke direction and pressure sequences
Author Affiliations +
Proceedings Volume 3967, Document Recognition and Retrieval VII; (1999) https://doi.org/10.1117/12.373481
Event: Electronic Imaging, 2000, San Jose, CA, United States
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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sung-Hyuk Cha, Yong-Chul Shin, and Sargur N. Srihari "Approximate string matching for stroke direction and pressure sequences", Proc. SPIE 3967, Document Recognition and Retrieval VII, (22 December 1999); https://doi.org/10.1117/12.373481
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Cited by 2 scholarly publications.
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KEYWORDS
Distance measurement

Detection and tracking algorithms

Computer programming

Prototyping

Silicon

Data acquisition

Head

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