Automatic Redaction of Private Information Using Relational Information Extraction
Document Recognition and Retrieval XIII
San Jose, CA
We report on an attempt to build an automatic redaction system by applying information extraction techniques to the identification of private dates of birth. We conclude that automatic redaction is a promising concept although information extraction is significantly affected by the presence of OCR error.
Data protection; Optical character recognition; Privacy
Computer Engineering | Electrical and Computer Engineering | Theory and Algorithms
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Automatic Redaction of Private Information Using Relational Information Extraction.
Presentation at Document Recognition and Retrieval XIII,
San Jose, CA.
Available at: https://digitalscholarship.unlv.edu/ece_presentations/27