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Proceedings Paper

Handwritten document age classification based on handwriting styles
Author(s): Chetan Ramaiah; Gaurav Kumar; Venu Govindaraju
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Paper Abstract

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.

Paper Details

Date Published: 23 January 2012
PDF: 6 pages
Proc. SPIE 8297, Document Recognition and Retrieval XIX, 82970Q (23 January 2012); doi: 10.1117/12.912215
Show Author Affiliations
Chetan Ramaiah, Univ. at Buffalo (United States)
Gaurav Kumar, Univ. at Buffalo (United States)
Venu Govindaraju, Univ. at Buffalo (United States)

Published in SPIE Proceedings Vol. 8297:
Document Recognition and Retrieval XIX
Christian Viard-Gaudin; Richard Zanibbi, Editor(s)

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