Transcript mapping for handwritten English documents

Damien Jose; Anurag Bharadwaj; Venu Govindaraju

doi:10.1117/12.766489

28 January 2008 Transcript mapping for handwritten English documents

Damien Jose, Anurag Bharadwaj, Venu Govindaraju

Author Affiliations +

Proceedings Volume 6815, Document Recognition and Retrieval XV; 68150M (2008) https://doi.org/10.1117/12.766489
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

Transcript mapping or text alignment with handwritten documents is the automatic alignment of words in a text file with word images in a handwritten document. Such a mapping has several applications in fields ranging from machine learning where large quantities of truth data are required for evaluating handwriting recognition algorithms, to data mining where word image indexes are used in ranked retrieval of scanned documents in a digital library. The alignment also aids "writer identity" verification algorithms. Interfaces which display scanned handwritten documents may use this alignment to highlight manuscript tokens when a person examines the corresponding transcript word. We propose an adaptation of the True DTW dynamic programming algorithm for English handwritten documents. The integration of the dissimilarity scores from a word-model word recognizer and Levenshtein distance between the recognized word and lexicon word, as a cost metric in the DTW algorithm leading to a fast and accurate alignment, is our primary contribution. Results provided, confirm the effectiveness of our approach.

Citation Download Citation

Damien Jose, Anurag Bharadwaj, and Venu Govindaraju "Transcript mapping for handwritten English documents", Proc. SPIE 6815, Document Recognition and Retrieval XV, 68150M (28 January 2008); https://doi.org/10.1117/12.766489

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