Detection on Straight Line Problem in Triangle Geometry Features for Digit Recognition

Arbain, Nur Atikah; Azmi, Mohd Sanusi; Ahmad, Sabrina; Nordin, Radzuan; Mas'ud, M. Z.; Lateh, Masitah Abdul

doi:10.18517/ijaseit.6.6.1457

Cited by 2 publications

(2 citation statements)

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“…There are four types of zoning method applied namely Cartesian plane zone, horizontal zone, vertical zone and 45degree zone. These zoning methods also have been used in digit recognition [10], [19]. TABLE I shows the summary of zoning method information while Fig.…”

Section: B Feature Extraction 1) Zoning Methodmentioning

confidence: 99%

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Triangle Shape Feature based on Selected Centroid for Arabic Subword Handwriting

Arbain¹,

Azmi²,

Kamilah³

et al. 2018

ijacsa

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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.

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Section: B Feature Extraction 1) Zoning Methodmentioning

confidence: 99%

“…In vehicle detection, flat road assumption has been used as indicator to search for vehicles that are located on the ground. Besides that, geometry method was also used in recognizing digit recognition and calligraphy [9], [10], [19]. A local foreground image was applied to construct triangle points based on the size of image.…”

Section: Related Workmentioning

confidence: 99%