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Study of Structural features of handwritten grapheme 'th' for writer identification |
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Editor(s): Ning Zhang, Ajith Abraham, Qi Shi, Johnson Thomas and Patrick Kellenberger |
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Institute of Electrical and Electronics Engineers (IEEE) |
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Los Alamitos, United States of America |
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| Abstract |
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In this paper we present a study of 25 structural micro features of handwriting extracted automatically from images of grapheme 'th'. The study was carried out on a total of 3823 samples collected from 165 different writers, between 15 and 27 samples per writer. The methods of feature extraction are presented along with the results. We present a direct analysis of the feature usefulness. A measure of usefulness specific to handwriting examination was designed and the usefulness of the features was estimated. It was shown that most of the extracted micro features of 'th' do possess discriminative power. Ranking of features allows simple comparison of their discriminative power. |
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Proceedings of the Third International Symposium on Information Assurance and Security, p. 417-422 |
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