Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf)
Tema utama bagi kajian ini ialah pensegmenan aksara tulisan Arab luar talian. Suatu sistem pengecaman aksara tulisan Arab yang baik mampu meningkatkan kesalingtindakan antara manusia dengan komputer. The main theme of this research is the off-line handwritten Arabic characters segmentation
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2007
|
Subjects: | |
Online Access: | http://eprints.usm.my/29334/1/Off-line_handwritten_arabic_characters_segmentation_using_slant-tolerant_segment_features_%28STSF%29.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-usm-ep.29334 |
---|---|
record_format |
uketd_dc |
spelling |
my-usm-ep.293342017-03-22T02:23:51Z Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf) 2007-04 Abdullah, Shubair A. Q Science Tema utama bagi kajian ini ialah pensegmenan aksara tulisan Arab luar talian. Suatu sistem pengecaman aksara tulisan Arab yang baik mampu meningkatkan kesalingtindakan antara manusia dengan komputer. The main theme of this research is the off-line handwritten Arabic characters segmentation 2007-04 Thesis http://eprints.usm.my/29334/ http://eprints.usm.my/29334/1/Off-line_handwritten_arabic_characters_segmentation_using_slant-tolerant_segment_features_%28STSF%29.pdf application/pdf en public masters USM Pusat Pengajian Sains Fizik |
institution |
Universiti Sains Malaysia |
collection |
USM Institutional Repository |
language |
English |
topic |
Q Science |
spellingShingle |
Q Science Abdullah, Shubair A. Off-Line Handwritten Arabic Characters Segmentation Using Slant-Tolerant Segment Features (Stsf) |
description |
Tema utama bagi kajian ini ialah pensegmenan aksara tulisan Arab luar talian. Suatu
sistem pengecaman aksara tulisan Arab yang baik mampu meningkatkan
kesalingtindakan antara manusia dengan komputer.
The main theme of this research is the off-line handwritten Arabic characters
segmentation |
format |
Thesis |
qualification_level |
Master's degree |
author |
Abdullah, Shubair A. |
author_facet |
Abdullah, Shubair A. |
author_sort |
Abdullah, Shubair A. |
title |
Off-Line Handwritten Arabic Characters
Segmentation Using Slant-Tolerant
Segment Features (Stsf) |
title_short |
Off-Line Handwritten Arabic Characters
Segmentation Using Slant-Tolerant
Segment Features (Stsf) |
title_full |
Off-Line Handwritten Arabic Characters
Segmentation Using Slant-Tolerant
Segment Features (Stsf) |
title_fullStr |
Off-Line Handwritten Arabic Characters
Segmentation Using Slant-Tolerant
Segment Features (Stsf) |
title_full_unstemmed |
Off-Line Handwritten Arabic Characters
Segmentation Using Slant-Tolerant
Segment Features (Stsf) |
title_sort |
off-line handwritten arabic characters
segmentation using slant-tolerant
segment features (stsf) |
granting_institution |
USM |
granting_department |
Pusat Pengajian Sains Fizik |
publishDate |
2007 |
url |
http://eprints.usm.my/29334/1/Off-line_handwritten_arabic_characters_segmentation_using_slant-tolerant_segment_features_%28STSF%29.pdf |
_version_ |
1747820126615371776 |