Transcript mapping for handwritten Arabic documents

Liana M. Lorigo; Venu Govindaraju

doi:10.1117/12.696140

29 January 2007 Transcript mapping for handwritten Arabic documents

Liana M. Lorigo, Venu Govindaraju

Proceedings Volume 6500, Document Recognition and Retrieval XIV; 65000W (2007) https://doi.org/10.1117/12.696140
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

Handwriting recognition research requires large databases of word images each of which is labeled with the word it contains. Full images scanned in, however, usually contain sentences or paragraphs of writing. The creation of labeled databases of images of isolated words is usually tedious, requiring a person to drag a rectangle around each word in the full image and type in the label. Transcript mapping is the automatic alignment of words in a text file with word locations in the full image. It can ease the creation of databases for research. We propose the first transcript mapping method for handwritten Arabic documents. Our approach is based on Dynamic Time Warping (DTW) and offers two primary algorithmic contributions. First is an extension to DTW that uses true distances when mapping multiple entries from one series to a single entry in the second series. Second is a method to concurrently map elements of a partially aligned third series within the main alignment. Preliminary results are provided.

Citation Download Citation

Liana M. Lorigo and Venu Govindaraju "Transcript mapping for handwritten Arabic documents", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 65000W (29 January 2007); https://doi.org/10.1117/12.696140

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available