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Generic Automatic Recognition System for Handwritten Pashto Documents

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
A2-4906
Solicitation Year:
2007
Solicitation Topic Code:
A07-057
Solicitation Number:
2007.2
Small Business Information
Optimal Synthesis, Inc.
95 First Street, Suite 240 Los Altos, CA 94022-2777
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2012
Title: Generic Automatic Recognition System for Handwritten Pashto Documents
Agency: DOD
Contract: W911QX-12-C-0029
Award Amount: $401,866.00
 

Abstract:

Development of an automatic recognition system of handwritten Pashto documents is addressed. The goal of the Phase II work is to develop a prototype of the automatic recognition system useable for screening handwritten Pashto documents such as personal letters. The proposed work builds on a successful feasibility demonstration of a handwritten Urdu word recognition system under a recent Army SBIR project. The Urdu SBIR project has demonstrated the feasibility of building a generic recognition framework for non-Arabic languages using Arabic-style script based on the Hidden Markov Model (HMM) approach. We have developed the novel integrated Contourlet- and Graph-based feature extraction algorithm that outperforms the state-of-the-art baseline approaches. Using a large Urdu handwriting database created under the Phase II, an Urdu document recognition system was constructed with recognition performance approaching the Arabic handwriting recognition system reported under the MADCAT program. The proposed Pashto recognition system development will be based on the same HMM-based framework. We shall first create a large Pashto handwriting database and use it to develop a complete recognition engine for handwritten Pashto documents. At the end of the Phase II, we shall deliver the database as well as the handwritten Pashto recognition system prototype to the MFLTS program office.

Principal Investigator:

Hui-Ling Lu
Director, Signal Processi
(650) 559-8585
vicky@optisyn.com

Business Contact:

P. K. Menon
President
(650) 559-8585
menon@optisyn.com
Small Business Information at Submission:

Optimal Synthesis Inc.
95 First Street Suite 240 Los Altos, CA -

EIN/Tax ID: 770484755
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No