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- Title
Character context: a shape descriptor for Arabic handwriting recognition.
- Authors
Mudhsh, Mohammed; Almodfer, Rolla; Duan, Pengfei; Shengwu Xiong
- Abstract
In the handwriting recognition field, designing good descriptors are substantial to obtain rich information of the data. However, the handwriting recognition research of a good descriptor is still an open issue due to unlimited variation in human handwriting. We introduce a “character context descriptor” that efficiently dealt with the structural characteristics of Arabic handwritten characters. First, the character image is smoothed and normalized, then the character context descriptor of 32 feature bins is built based on the proposed “distance function.” Finally, a multilayer perceptron with regularization is used as a classifier. On experimentation with a handwritten Arabic characters database, the proposed method achieved a stateof- the-art performance with recognition rate equal to 98.93% and 99.06% for the 66 and 24 classes, respectively.
- Subjects
WRITING; ARABIC writing; DESCRIPTOR systems; DATABASES; SHAPE analysis (Computational geometry); MULTILAYER perceptrons
- Publication
Journal of Electronic Imaging, 2017, Vol 26, Issue 6, p063002-1
- ISSN
1017-9909
- Publication type
Article
- DOI
10.1117/1.JEI.26.6.063002