An OCR based approach for word spotting in Devanagari documents

Anurag Bhardwaj; Suryaprakash Kompalli; Srirangaraj Setlur; Venu Govindaraju

doi:10.1117/12.767289

28 January 2008 An OCR based approach for word spotting in Devanagari documents

Anurag Bhardwaj, Suryaprakash Kompalli, Srirangaraj Setlur, Venu Govindaraju

Proceedings Volume 6815, Document Recognition and Retrieval XV; 68150O (2008) https://doi.org/10.1117/12.767289
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

This paper describes an OCR-based technique for word spotting in Devanagari printed documents. The system accepts a Devanagari word as input and returns a sequence of word images that are ranked according to their similarity with the input query. The methodology involves line and word separation, pre-processing document words, word recognition using OCR and similarity matching. We demonstrate a Block Adjacency Graph (BAG) based document cleanup in the pre-processing phase. During word recognition, multiple recognition hypotheses are generated for each document word using a font-independent Devanagari OCR. The similarity matching phase uses a cost based model to match the word input by a user and the OCR results. Experiments are conducted on document images from the publicly available ILT and Million Book Project dataset. The technique achieves an average precision of 80% for 10 queries and 67% for 20 queries for a set of 64 documents containing 5780 word images. The paper also presents a comparison of our method with template-based word spotting techniques.

Citation Download Citation

Anurag Bhardwaj, Suryaprakash Kompalli, Srirangaraj Setlur, and Venu Govindaraju "An OCR based approach for word spotting in Devanagari documents", Proc. SPIE 6815, Document Recognition and Retrieval XV, 68150O (28 January 2008); https://doi.org/10.1117/12.767289

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