A Novel Multilayer Perceptron Artificial Neural Network based Recognition for Kurdish Manuscript

Zebardast, Behnam; Maleki, Isa; Maroufi, Awat

doi:10.17485/ijst/2014/v7i3.3

Cited by 10 publications

(3 citation statements)

References 19 publications

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“…Behnam Zebardast, Isa Maleki, and Awat Maroufi (2014) used neural networks as one of the various character recognition methods. Artificial neural networks could have been successful according to the parallel process flexibility and learning capacity for particular applications such as pattern recognition, and it's an acceptable approach to understanding the Kurdish alphabet.…”

Section: Literature Reviewmentioning

confidence: 99%

Kurdish Handwritten character recognition using deep learning techniques

Ahmed

Rashid²,

Fattah³

et al. 2022

Gene Expression Patterns

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Section: Literature Reviewmentioning

confidence: 99%

Kurdish Handwritten character recognition using deep learning techniques

Ahmed

Rashid²,

Fattah³

et al. 2022

Gene Expression Patterns

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“…Although the Kurdish language uses modified Arabic/Persian (farsi) characters for writing, and there are many comprehensive databases of Arabic and Persian handwriting characters for offline character recognition and some databases even claim that their database can be used for recognition of other languages, such as Urdu and Kurdish [ 3 , 4 ]. However, there are two main problems, the first being that it does not contain all the characters used in Kurdish, like Re (ڕ), Ve (ڤ), Le(ڵ) and Wo (ۆ).…”

Section: Data Descriptionmentioning

confidence: 99%

An extensive dataset of handwritten central Kurdish isolated characters

et al. 2021

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To collect the handwritten format of separate Kurdish characters, each character has been printed on a grid of 14 × 9 of A4 paper. Each paper is filled with only one printed character so that the volunteers know what character should be written in each paper. Then each paper has been scanned, spliced, and cropped with a macro in photoshop to make sure the same process is applied for all characters. The grids of the characters have been filled mainly by volunteers of students from multiple universities in Erbil.

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“…Furthermore, the system of text recognition typically has various phases which are segmentation, preprocessing, acquisition, classification and feature extraction. Despite that some investigators are combine or eliminate those phases [6].…”

Section: Introductionmentioning

confidence: 99%

Isolated Arabic handwritten words recognition using EHD and HOG methods

Mohammed¹,

Tariq²,

Ayad

2021

IJEECS

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<span>Handwriting recognition is a growing field of study in computer vision, artificial intelligence and pattern recognition technology aimed to recognizing texts and handwritings of hefty amount of produced official documents and paper works by institutes or governments. Using computer to distinguish and make these documents accessible and approachable is the goal of these efforts. Moreover, recognition of text has accomplished practically a major progress in many domains such as security sector and e-government structure and more. A system for recognition text’s handwriting was presented here relied on edge histogram descriptor (EHD), histogram of orientated gradients (HOG) features extraction and support vector machine (SVM) as a classifier is proposed in this paper. HOG and EHD give an optimal features of the Arabic hand-written text by extracting the directional properties of the text. Besides that, SVM is a most common machine learning classifier that obtaining an essential classification results within various kernel functions. The experimental evaluation is carried out for Arabic handwritten images from IESK-ArDB database using HOG, EHD features and proposed work provides 85% recognition rate.</span>

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A Novel Multilayer Perceptron Artificial Neural Network based Recognition for Kurdish Manuscript

Cited by 10 publications

References 19 publications

Kurdish Handwritten character recognition using deep learning techniques

Kurdish Handwritten character recognition using deep learning techniques

An extensive dataset of handwritten central Kurdish isolated characters

Isolated Arabic handwritten words recognition using EHD and HOG methods

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