By Topic

Transcript mapping for historic handwritten document images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Tomai, C.I. ; UB Commons, CEDAR, Amherst, NY, USA ; Bin Zhang ; Govindaraju, V.

There is a large number of scanned historical documents that need to be indexed for archival and retrieval purposes. A visual word spotting scheme that would serve these purposes is a challenging task even when the transcription of the document image is available. We propose a framework for mapping each word in the transcript to the associated word image in the document. Coarse word mapping based on document constraints is used for lexicon reduction. Then, word mappings are refined using word recognition results by a dynamic programming algorithm that finds the best match while satisfying the constraints.

Published in:

Frontiers in Handwriting Recognition, 2002. Proceedings. Eighth International Workshop on

Date of Conference: