Articles uploaded in MyJurnal |
|
|
View Article |
Text localization in images using reverse thresholds algorithm
Wong, Lih-Fong1, Mohd Yazid Idris2, Abdul Hanan Abdullah3.
High color similarity between text pixels and background pixels is the major problem that
causes failure during text localization. In this paper, a novel algorithm, Reverse Thresholds
(RT) algorithm is proposed to localize text from the images with various text-background
color similarities. First, a rough calculation is proposed to determine the similarity index for
every text region. Then, by applying reverse operation, the best thresholds for each text
region are calculated by its similarity index. To remove other uncertainties, self-generated
images with the same text features but different similarity index are used as experiment
dataset. Experiment result shows that RT algorithm has higher localizing strength which is
able to localize text in a wider range of similarity index.
Affiliation:
- Universiti Teknologi Malaysia, Malaysia
- Universiti Teknologi Malaysia, Malaysia
- Universiti Teknologi Malaysia, Malaysia
Download this article (This article has been downloaded 149 time(s))
|
|
Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
|
6 |
Immediacy Index
|
0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
|
CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
|
|
|
|
|