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Proceedings Paper

Interaction for style-constrained OCR
Author(s): Sriharsha Veeramachaneni; George Nagy
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Paper Abstract

The error rate can be considerably reduced on a style-consistent document if its style is identified and the right style-specific classifier is used. Since in some applications both machines and humans have difficulty in identifying the style, we propose a strategy to improve the accuracy of style-constrained classification by enlisting the human operator to identify the labels of some characters selected by the machine. We present an algorithm to select the set of characters that is likely to reduce the error rate on unlabeled characters by utilizing the labels to reclassify the remaining characters. We demonstrate the efficacy of our algorithm on simulated data.

Paper Details

Date Published: 29 January 2007
PDF: 8 pages
Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650006 (29 January 2007); doi: 10.1117/12.705775
Show Author Affiliations
Sriharsha Veeramachaneni, ITC-IRST (Italy)
George Nagy, Rensselaer Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 6500:
Document Recognition and Retrieval XIV
Xiaofan Lin; Berrin A. Yanikoglu, Editor(s)

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