23 January 2012 Handwritten document age classification based on handwriting styles
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Handwriting styles are constantly changing over time. We approach the novel problem of estimating the approximate age of Historical Handwritten Documents using Handwriting styles. This system will have many applications in handwritten document processing engines where specialized processing techniques can be applied based on the estimated age of the document. We propose to learn a distribution over styles across centuries using Topic Models and to apply a classifier over weights learned in order to estimate the approximate age of the documents. We present a comparison of different distance metrics such as Euclidean Distance and Hellinger Distance within this application.
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Chetan Ramaiah, Chetan Ramaiah, Gaurav Kumar, Gaurav Kumar, Venu Govindaraju, Venu Govindaraju, } "Handwritten document age classification based on handwriting styles", Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970Q (23 January 2012); doi: 10.1117/12.912215; https://doi.org/10.1117/12.912215

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