Building application frameworks: object-oriented foundations of framework design
Building application frameworks: object-oriented foundations of framework design
WISDOM++: An Interactive and Adaptive Document Analysis System
ICDAR '99 Proceedings of the Fifth International Conference on Document Analysis and Recognition
Web-based Cooperative Document Understanding
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Document digitization lifecycle for complex magazine collection
Proceedings of the 2005 ACM symposium on Document engineering
Document: a useful level for facing noisy data
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
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To process high-volume input dataýsuch as the scanned images of publisher's book and journal collectionsýcontent understanding systems should run automatically, continuously, and without human attendance. Ensuring the output quality of such systems is a challenging task, however, and automated quality assurance (QA) techniques are thus essential to its success. In this article, the author discusses three automated QA techniques that were developed for HP's Digital Content ReMastering (DCRM) system.