Off-Line Arabic Handwritten Words Segmentation using Morphological Operators

by   Nisreen AbdAllah, et al.

The main aim of this study is the assessment and discussion of a model for hand-written Arabic through segmentation. The framework is proposed based on three steps: pre-processing, segmentation, and evaluation. In the pre-processing step, morphological operators are applied for Connecting Gaps (CGs) in written words. Gaps happen when pen lifting-off during writing, scanning documents, or while converting images to binary type. In the segmentation step, first removed the small diacritics then bounded a connected component to segment offline words. Huge data was utilized in the proposed model for applying a variety of handwriting styles so that to be more compatible with real-life applications. Consequently, on the automatic evaluation stage, selected randomly 1,131 images from the IESK-ArDB database, and then segmented into sub-words. After small gaps been connected, the model performance evaluation had been reached 88 of the database. The proposed model achieved the highest accuracy when compared with the related works.



There are no comments yet.


page 1

page 2

page 3

page 4


Word Segmentation from Unconstrained Handwritten Bangla Document Images using Distance Transform

Segmentation of handwritten document images into text lines and words is...

Large Vocabulary Arabic Online Handwriting Recognition System

Arabic handwriting is a consonantal and cursive writing. The analysis of...

A Hybrid Deep Learning Model for Arabic Text Recognition

Arabic text recognition is a challenging task because of the cursive nat...

AraBERT and Farasa Segmentation Based Approach For Sarcasm and Sentiment Detection in Arabic Tweets

This paper presents our strategy to tackle the EACL WANLP-2021 Shared Ta...

Restoring Arabic vowels through omission-tolerant dictionary lookup

Vowels in Arabic are optional orthographic symbols written as diacritics...

AlexU-Word: A New Dataset for Isolated-Word Closed-Vocabulary Offline Arabic Handwriting Recognition

In this paper, we introduce the first phase of a new dataset for offline...

Dynamic Hierarchical Bayesian Network for Arabic Handwritten Word Recognition

This paper presents a new probabilistic graphical model used to model an...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.