Document image database indexing with pictorial dictionary

Mohammad Akbari; Reza Azimi

doi:10.1117/12.856302

26 February 2010 Document image database indexing with pictorial dictionary

Mohammad Akbari, Reza Azimi

Proceedings Volume 7546, Second International Conference on Digital Image Processing; 75462R (2010) https://doi.org/10.1117/12.856302
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore

Abstract

In this paper we introduce a new approach for information retrieval from Persian document image database without using Optical Character Recognition (OCR).At first an attribute called subword upper contour label is defined then, a pictorial dictionary is constructed based on this attribute for the subwords. By this approach we address two issues in document image retrieval: keyword spotting and retrieval according to the document similarities. The proposed methods have been evaluated on a Persian document image database. The results have proved the ability of this approach in document image information retrieval.

Citation Download Citation

Mohammad Akbari and Reza Azimi "Document image database indexing with pictorial dictionary", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 75462R (26 February 2010); https://doi.org/10.1117/12.856302

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