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Proceedings Paper

Group discriminatory power of handwritten characters
Author(s): Catalin I. Tomai; Devika M. Kshirsagar; Sargur N. Srihari
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Paper Abstract

Using handwritten characters we address two questions (i) what is the group identification performance of different alphabets (upper and lower case) and (ii) what are the best characters for the verification task (same writer/different writer discrimination) knowing demographic information about the writer such as ethnicity, age or sex. The Bhattacharya distance is used to rank different characters by their group discriminatory power and the k-nn classifier to measure the individual performance of characters for group identification. Given the tasks of identifying the correct gender/age/ethnicity or handedness, the accumulated performance of characters varies between 65% and 85%.

Paper Details

Date Published: 15 December 2003
PDF: 8 pages
Proc. SPIE 5296, Document Recognition and Retrieval XI, (15 December 2003); doi: 10.1117/12.527276
Show Author Affiliations
Catalin I. Tomai, Univ. at Buffalo (United States)
Devika M. Kshirsagar, Univ. at Buffalo (United States)
Sargur N. Srihari, Univ. at Buffalo (United States)

Published in SPIE Proceedings Vol. 5296:
Document Recognition and Retrieval XI
Elisa H. Barney Smith; Jianying Hu; James Allan, Editor(s)

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