Dynamic random forest for the recognition of Arabic handwritten mathematical symbols with a novel set of features
Joint Authors
Source
The International Arab Journal of Information Technology
Publisher
Publication Date
2018-05-31
Country of Publication
Jordan
No. of Pages
11
Main Subjects
English Abstract
Mathematics has a number of characteristics which distinguish it from conventional text and make it a challenging area for recognition.
This include principally its two dimensional structure and the diversity of used symbols, especially in Arabic context.
Recognition of mathematical formulas requires solving three sub problems: segmentation, the symbol recognition and finally the symbol arrangement analysis.
In this paper we will focus on the Arabic mathematical symbol recognition step.
This is a challenging task due to the large symbol set with many similar looking symbols used in Arabic mathematics and also the great variability found in human writing.
The strength of the selected features and the effectiveness of the classifier are the two key factors determining the performance of a handwritten symbols recognition System .In this paper we proposed a novel Shape Context (SH) descriptor and explored its combination with a modified Chain Code Histogram (CCH) and a Histogram of Oriented Gradient (HOG) at the level of descriptors extraction.
For the classification we used a Dynamic Random Forest (DRF) model which has the advantage of efficiently modelling the interaction among trees to determine the right prediction.
The results carried out Handwritten Arabic Mathematical Dataset (HAMF) show that the DRF proves a significant improvement in terms of accuracy compared to the standard static RF and Support Vector Machines (SVM).
Data Type
Conference Papers
Record ID
BIM-896596
American Psychological Association (APA)
Ali, Ibtisam& Mahjub, Muhammad. 2018-05-31. Dynamic random forest for the recognition of Arabic handwritten mathematical symbols with a novel set of features. International Arab Conference on Information Technology (18 : 2017 : Zarqa, Jordan). . Vol. 15, no. 3A (Special issue) (2018), pp.565-575.Zarqa Jordan : Zarqa University.
https://search.emarefa.net/detail/BIM-896596
Modern Language Association (MLA)
Ali, Ibtisam& Mahjub, Muhammad. Dynamic random forest for the recognition of Arabic handwritten mathematical symbols with a novel set of features. . Zarqa Jordan : Zarqa University. 2018-05-31.
https://search.emarefa.net/detail/BIM-896596
American Medical Association (AMA)
Ali, Ibtisam& Mahjub, Muhammad. Dynamic random forest for the recognition of Arabic handwritten mathematical symbols with a novel set of features. . International Arab Conference on Information Technology (18 : 2017 : Zarqa, Jordan).
https://search.emarefa.net/detail/BIM-896596