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Simultaneous Detection And Recognition of Named Entities in Degraded Document Images

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-11-C-0110
Agency Tracking Number: A2-4506
Amount: $727,955.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: A09-042
Solicitation Number: 2009.2
Solicitation Year: 2009
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-09-19
Award End Date (Contract End Date): N/A
Small Business Information
1427 Cerro Verde
San Jose, CA -
United States
DUNS: 115713492
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Ismail Haritaoglu
 (650) 793-9453
Business Contact
 Esin Haritaoglu
Title: Vice President
Phone: (650) 646-5799
Research Institution

Polar Rain proposes to design and develop end to end name entry extraction system for degraded handwritten documents. We will develop a new data and computational model that combines both image features and language model to extract name entities in degraded documents. Our proposed approach brings innovative solution to work on degraded Arabic printed/handwritten documents. We will investigate how to design such data model which contains both image features and language features together, and can handle complex degraded document images. Our computational models will use generative and descriptive data models to extract names from recognition results that may contains significant error. We will design a flexible software architecture so that the solution can be extended to other similar languages, such as Pashto, Dari without extensive work. We will conduct experiments to measure performance of proposed system over exiting NEE solution.

* Information listed above is at the time of submission. *

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