DocumentCode
3498284
Title
Quality assurance in high volume document digitization: a survey
Author
Lin, Xiaofan
Author_Institution
Hewlett-Packard Labs., Palo Alto, CA
fYear
2006
fDate
27-28 April 2006
Lastpage
319
Abstract
Quality assurance (QA) plays a critical role in high volume document digitization projects by making sure that the specified quality standard is reached under cost and time constraints. This paper takes a systematic view on this issue by summarizing and abstracting related existing work: quality bottlenecks and technical solutions throughout the whole processing pipeline, including cataloging, capture, image analysis and recognition, and error cascading; various strategies to conduct cost-effective QA, such as combination of auto-QA and manual QA, batch QA, special QA user interface, and open source QA
Keywords
document image processing; image recognition; quality assurance; document capture; document cataloging; error cascading; high volume document digitization; image analysis; image recognition; quality assurance; quality standard; Books; Costs; Humans; Image analysis; Image recognition; Open source software; Pipelines; Quality assurance; Software libraries; User interfaces;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Image Analysis for Libraries, 2006. DIAL '06. Second International Conference on
Conference_Location
Lyon
Print_ISBN
0-7695-2531-8
Type
conf
DOI
10.1109/DIAL.2006.33
Filename
1612973
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