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Ralph Niels & Louis Vuurpijl Nijmegen Institute for Cognition and Information Radboud University Nijmegen The Netherlands
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Handwriting styles and copybooks Method Results Discussion
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Handwriting is individual Similar handwritings: handwriting styles Top down ‘copybooks’ * We defined writing styles bottom up * S.-H. Cha, S. Yoon, C.C. Tappert, 2006.
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Handwriting recognition Personalized recognizers Handwriting synthesis ‘Handwriting fonts’ Forensic writer identification Human experts use the notion of style
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Databases: Unipen trainset Unipen devset Plucoll database Online handwritten characters (pre-segmented) 43 writers 41 writers
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The prototype we used are averaged shapes of actual handwritten characters L. Vuurpijl & L. Schomaker, Finding Structure in Diversity, ICDAR 1997. R. Niels, L. Vuurpijl & L. Schomaker, Automatic allograph matching in forensic writer identification, IJPRAI, Feb. 2007.
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PC j PC k PC i Prototypes Prototype clusters
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Relative frequency of the occurrence of each prototype cluster in a persons handwriting
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PC j PC k PC i Prototypes Prototype clusters 0.150.05 0.520.230.20.8 1.0
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Handwriting Z 0.120.010.220.550.10 Handwriting X 0.150.05 0.520.23 Handwriting Y 0.470.410.000.090.03
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Hierarchical clustering of membership vectors (handwritings) HZXEDIAGBBJKYCF Handwriting Writing styles
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PC j PC k PC i HZXEDIAGBBJKYCF
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Monte Carlo simulation of combinations of parameters and levels Large number of writing styles Find the writing styles that occur most By prototypes or By writers
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Copybooks Preliminary results Visual evaluation by handwriting experts Meaningful names Well-known broad categories: cursive, mixed and print
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Mixed Cursive Print
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Mixed Cursive Print
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Applied to/with, not limited to: Online Latin characters Dynamic Time Warping for character comparison (human congruous) Best of both worlds: Integrate top down and bottom up (with forensic experts) HZXEDIAGBBJKYCF Integrate
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