|
| Recognition of Farsi Handwritten Numbers Using the Fuzzy Method
|
|
Full
text: |
PDF(0 Bytes) |
|
|
Source |
International Journal of Image Processing (IJIP) |
|
Table of Contents |
|
|
Download
Complete Issue PDF(12.63MB) |
|
Volume: 5 Issue: 5 |
| |
Pages: NULL |
|
Publication
Date: November / December 2011 |
|
ISSN
(Online): 1985-2304 |
|
|
|
|
|
Pages |
623 - 634 |
|
Author(s) |
|
|
|
Published
Date |
15-12-2011 |
|
Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
|
ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
| |
|
| |
KEYWORDS: Character Recognition, Fuzzy, Geometric Feature |
|
|
| |
|
|
| No
record found |
| |
|
| |
|
|
| There are wide varieties of handwritten characters which differ not only from person to person but also from the state of mood of the same person. Nevertheless humans are trained to extract the specific features characterizing a symbol. This paper aims to introduce fuzziness in the definition of the proposed pattern features, which provides the enhancement to the handwritten character information to be stored. Some novel shape features in fuzzy linguistic domain are proposed. The experimental results indicate 95 % accuracy on recognition of Farsi numbers over the selected database. |
| |
|
| |
|
| |
| |
|
| |
|
| |
| |
|
| |
|
| |
| |
|
| |
|
| |
|
| Mansoreh Sharizfadeh : Colleagues
|
|
| Shahpour Alirezaee : Colleagues
|
|