Arabic words recognition technique for pattern matching using SIFT, SURF and ORB
Image matching technique requires a robust and fast technique to be applicable in various application. This paper investigates which recognition technique suits better in matching an image of printed Arabic text. The recognition algorithm involves the conventional Scale-Invariant Feature Transfo...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknikal Malaysia Melaka
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/60355/ http://irep.iium.edu.my/60355/1/1570378451.pdf |
| Summary: | Image matching technique requires a robust and
fast technique to be applicable in various application. This paper
investigates which recognition technique suits better in matching
an image of printed Arabic text. The recognition algorithm
involves the conventional Scale-Invariant Feature Transform
(SIFT), Speeded Up Robust Features (SURF) and Oriented
FAST and Rotated BRIEF (ORB). A parameters estimator of
models algorithm is used to weed out the outlier point of
matching images. The test demonstrates on the Arabic word
images with the different angles, scales, and viewpoints. We
evaluate the performance through analyzing the matching
accuracy rate and computational time |
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