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DOI: 10.14569/IJACSA.2018.091224
PDF

Triangle Shape Feature based on Selected Centroid for Arabic Subword Handwriting

Author 1: Nur Atikah Arbain
Author 2: Mohd Sanusi Azmi
Author 3: Azah Kamilah Muda
Author 4: Amirul Ramzani Radzid
Author 5: Azrina Tahir

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 12, 2018.

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Abstract: Features are normally modelled based on color, texture and shape. However, some features may have different constraints based on types, styles and pattern of an image. The Arabic subword handwriting, for example, cannot be recognized by color and not suitable to be characterized based on texture. Therefore, features based on shape are suitable to be used for recognizing Arabic subword handwriting since each of the character has various characteristics such as diacritics, thinning and strokes. These characteristics can contribute to particular a shape that is unique and can represent Arabic subword handwriting. Currently, geometry shape such as triangle has been adopted to extract useful features based on triangle properties without implicating any triangle form. In order to increase classification accuracy, these properties have been categorized into several zones where the number of features produced is directly proportional to the number of zones. Nevertheless, shape representation does not implicate any triangle properties such as ratio of side, angle and gradient. By using shape representation, it helps in reducing the number of features. Thus, this paper presents feature based on triangle shape that can represent the identity of Arabic subword handwriting. The method based on triangle shape identifies three main coordinates of triangle formed based on selected centroids. The AHDB dataset is used as a testing data. The Support Vector Machine (SVM) and Random Forest (RF), respectively were used to measure the accuracy of the proposed method using triangle shape as a feature. The accuracy results have shown better outcome with 77.65% (SVM) and 76.43% (RF), which prove the feature based on triangle shape is applicable for Arabic subword handwriting recognition.

Keywords: Arabic subword; feature extraction; random forest; support vector machine; triangle geometry

Nur Atikah Arbain, Mohd Sanusi Azmi, Azah Kamilah Muda, Amirul Ramzani Radzid and Azrina Tahir, “Triangle Shape Feature based on Selected Centroid for Arabic Subword Handwriting” International Journal of Advanced Computer Science and Applications(IJACSA), 9(12), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091224

@article{Arbain2018,
title = {Triangle Shape Feature based on Selected Centroid for Arabic Subword Handwriting},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091224},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091224},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {12},
author = {Nur Atikah Arbain and Mohd Sanusi Azmi and Azah Kamilah Muda and Amirul Ramzani Radzid and Azrina Tahir}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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