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AHOCR: A System for Offline Arabic Handwriting Recognition

Award Information

Agency:
Department of Defense 		Branch:
Army 		Award ID:
81473 		Program Year/Program:
2007 / SBIR
Agency Tracking Number:
A072-095-1282 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
APPLIED MEDIA ANALYSIS, INC.
387 Technology Drive, Suite 2101 College Park, MD 20742
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: Yes
 
Phase 1
Fiscal Year: 2007
Title: AHOCR: A System for Offline Arabic Handwriting Recognition
Agency / Branch: DOD / ARMY
Contract: W15P7T-08-C-L201
Award Amount: $69,912.00
 

Abstract:

For this SBIR Applied Media Analysis, Inc. is teamed with researchers at the University of Buffalo (SUNY Buffalo) to address the challenges of Arabic handwriting Optical Character Recognition (AHOCR). The proposed approach leverages our previous experience developing MATES, a Multilingual Automatic Translation Engine for Signs (and documents), supported in part by the Army Research Laboratory (ARL). It will significantly extend our Mobile Arabic OCR capability to handle the handwriting. The system will be comprised of software modules including handwritten text extraction, preprocessing, segmentation, classification, post processing and evaluation. In this proposal we will focus on the underlying algorithms, rather then retargetablity, and our strategy will explore probabilistic methods that are independent of the writing style. These probabilistic methods have not previously been applied to Arabic handwriting recognition and advance the frontiers of document analysis in general, in addition to being ideally suited to the domains where the quality of documents is often less than ideal. We will demonstrate technical feasibility by testing the system on several Arabic handwriting collections, previously used in the community.

Principal Investigator:

Huiping Li
CTO
3014058574
huiping@appliedmediaanalysis.com

Business Contact:

David Doermann
President
3014058574
doermann@appliedmediaanalysis.com
Small Business Information at Submission:

APPLIED MEDIA ANALYSIS, INC.
387 Technology Drive, Suite 2101 College Park, MD 20742

EIN/Tax ID: 202084792
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No