DocumentCode :
2530150
Title :
Document style census for OCR
Author :
Nagy, George ; Sarkar, Prateek
Author_Institution :
DocLab., Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
2004
fDate :
2004
Firstpage :
134
Lastpage :
147
Abstract :
Four methods of converting paper documents to computer-readable form are compared with regard to hypothetical labor cost: keyboarding, omnifont OCR, style-specific OCR, and style-constrained or style-adaptive OCR. The best choice is determined primarily by (1) the reject rates of the various OCR systems at a given error rate, (2) the fraction of the material that must be labeled for training the system, and (3) the cost of partitioning the material according to style. For large corpora, sampling strategies are proposed both for estimating conversion costs and for taking advantage of style homogeneity.
Keywords :
document image processing; optical character recognition; computer-readable form; document style census; keyboarding; omnifont OCR; paper documents; style homogeneity; style-adaptive OCR; style-specific OCR; Costs; Demography; Digital cameras; Error analysis; Facsimile; Image converters; Image sampling; Optical character recognition software; Sampling methods; Software libraries;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Image Analysis for Libraries, 2004. Proceedings. First International Workshop on
Print_ISBN :
0-7695-2088-X
Type :
conf
DOI :
10.1109/DIAL.2004.1263245
Filename :
1263245
Link To Document :
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