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Digitizing paper records facilitates efficient storage and lookup of information. It is
o,lten necessary to support advanced keyword-based querying features that allow
extraction of specific information and filtering of digitized documents. However, this
often requires manual intervention since records might have vastly different formats
even though they essentially contain the same information. This makes digitization
time consuming and increases costs for organizations that want to digitize their
records. This project will develop tools to scan a group of paper records serving a
similar function, e.g., representing invoices, and automatically indexing them through a
common set of metadata. This metadata would allow access and querying of digitized
records in a manner that is transparent to the formatting differences of the underlying
paper records. Automating this task can result in significant cost savings for those
undertaking digitization efforts.
Behrouz Far
IDOCZ
Computer science
Professional, scientific and technical services
University of Calgary
Accelerate
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