Fuzzy rules-based system for description spatial relations among handwriting strokes

Zitouni, Rabiaa; Bezine, Hala; Arous, Najet

doi:10.1117/12.2522986

Cited by 2 publications

(1 citation statement)

References 13 publications

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“…These relations are portrayed in Figure 9. For more details about calculation of spatial relations, we refer the reader to our previous work [38].…”

Section: Spatial Relationships Description Via Fuzzy Rule-based Approachmentioning

confidence: 99%

Online Handwritten Arabic Scripts Recognition Using Stroke-Based Class Labeling Scheme

Zitouni¹,

Bezine²,

Arous³

2020

IJCIS

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With the increasing availability of pen-based user interfaces, we often come upon multiple data sets of online handwritten scripts such as letters, words, etc., that are collected based on a viable interface. In this paper, we set forward a new method for online handwritten Arabic scripts recognition. Departing from the assumption that handwritten scripts are encoded as a set of strokes, the proposed approach relies first upon classifying strokes contained on the script and then recognizes the whole script. For stroke classification, an support vector machine (SVM) is trained with stroke features vectors obtained from the Beta-elliptic model and fuzzy elementary perceptual codes to obtain class stroke probabilities. The output of this SVM is combined with spatial relation vectors feeding to a second SVM to provide scripts level recognition. The proposed model has been tested on MAYASTROUN dataset. In order to obtain additional insight into the efficiency of the proposed approach, we performed further experiments on ADAB data set. The experimental results highlight its relevance by comfortably outperforming state-of-art systems.

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“…These relations are portrayed in Figure 9. For more details about calculation of spatial relations, we refer the reader to our previous work [38].…”

Section: Spatial Relationships Description Via Fuzzy Rule-based Approachmentioning

confidence: 99%

Online Handwritten Arabic Scripts Recognition Using Stroke-Based Class Labeling Scheme

Zitouni¹,

Bezine²,

Arous³

2020

IJCIS

View full text Add to dashboard Cite

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Online handwritten scripts classification using fuzzy attributed relational graphs

Zitouni

Bezine

Arous

2023

Int. J. Mach. Learn. & Cyber.

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Fuzzy rules-based system for description spatial relations among handwriting strokes

Cited by 2 publications

References 13 publications

Online Handwritten Arabic Scripts Recognition Using Stroke-Based Class Labeling Scheme

Online Handwritten Arabic Scripts Recognition Using Stroke-Based Class Labeling Scheme

Online handwritten scripts classification using fuzzy attributed relational graphs

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