Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
On-line recognition of handwritten isolated arabic characters
Pattern Recognition, Volume 22, No. 2, Year 1989
Notification
URL copied to clipboard!
Description
This paper is concerned with the recognition of isolated handwritten Arabic characters drawn on a graphic tablet. At first, features that are suitable for recognition are proposed. Features that are found to be independent of the writer style are represented as a list (vector) of integer values, while those that are subjected to more variations are represented using a Freeman-like chain code. This mixing of the representation combined with a hierarchial organization of the characters proved to be useful in reducing recognition time. The proposed system has been implemented and tested on a PDP11/70 mini-computer using BASIC PLUS-2 programming language and real data samples that have been drawn on a Tektronix graphic tablet. Results concerning the effect of different parameters and classification strategies on the performance of the system are given. © 1989.
Authors & Co-Authors
El-Wakil, Mohamed S.
United States, Palo Alto
Hewlett-packard Inc.
Shoukry, Amin A.
Egypt, Alexandria
Faculty of Science
Statistics
Citations: 89
Authors: 2
Affiliations: 2
Identifiers
Doi:
10.1016/0031-3203(89)90058-7
ISSN:
00313203