29 January 2007 Interaction for style-constrained OCR
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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.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sriharsha Veeramachaneni, Sriharsha Veeramachaneni, George Nagy, George Nagy, } "Interaction for style-constrained OCR", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 650006 (29 January 2007); doi: 10.1117/12.705775; https://doi.org/10.1117/12.705775


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