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