Kurdish handwritten character recognition using deep learning techniques

RM Ahmed, TA Rashid, P Fattah, A Alsadoon… - Gene Expression …, 2022 - Elsevier
Handwriting recognition is regarded as a dynamic and inspiring topic in the exploration of
pattern recognition and image processing. It has many applications including a blind …

KLPT–Kurdish language processing toolkit

S Ahmadi - Proceedings of second workshop for NLP open …, 2020 - aclanthology.org
Despite the recent advances in applying language-independent approaches to various
natural language processing tasks thanks to artificial intelligence, some language-specific …

[HTML][HTML] Performance evaluation of Hindi speech recognition system using optimized filterbanks

M Dua, RK Aggarwal, M Biswas - Engineering Science and Technology, an …, 2018 - Elsevier
Abstract An Automatic Speech Recognition (ASR) system implementation uses a
conventional pattern recognition technique that stores a set of training patterns in classes …

Offline handwritten Gurumukhi character recognition system using deep learning

U Jindal, S Gupta, V Jain, M Paprzycki - Advances in Bioinformatics …, 2020 - Springer
Currently, Gurumukhi—a religion-specific language originating from India, ranks as the 14th
most spoken language and the 18th most popular writing script language of the entire world …

Exploiting script similarities to compensate for the large amount of data in training tesseract lstm: Towards kurdish ocr

S Idrees, H Hassani - Applied Sciences, 2021 - mdpi.com
Featured Application This work helps in the preparation of OCR for the Kurdish language. In
particular, its focus is on Kurdish texts written in Persian-Arabic script. Currently, Kurdish …

Optimized Convolutional Neural Network for Tamil Handwritten Character Recognition

RB Lincy, R Gayathri - … Journal of Pattern Recognition and Artificial …, 2022 - World Scientific
Digital recognitions are playing a vital function in the current era of technological
advancements. Hence, they offer more possible ways of performing handwritten character …

An online numeral recognition system using improved structural features–a unified method for handwritten Arabic and Persian numerals

JM Alghazo, G Latif, A Elhassan… - Journal of …, 2017 - jtec.utem.edu.my
With the advances in machine learning techniques, handwritten recognition systems also
gained importance. Though digit recognition techniques have been established for online …

Do individual characteristics influence the beta-elliptic modeling errors during ellipse drawing movements?

T Dhieb, N Rezzoug, H Boubaker… - Computer Methods in …, 2022 - Taylor & Francis
This paper investigates whether age, gender, and degree of familiarity with writing have an
influence on the Beta-elliptic model errors during hand-drawing on a graphical tablet. A …

Automatic handwritten character recognition of Devanagari language: a hybrid training algorithm for neural network

PM Yawalkar, MU Kharat - Evolutionary Intelligence, 2022 - Springer
In the field of image processing and Artificial Intelligence the character recognition and
handwritten recognition have been emerging as one of the active and challenging research …

A Novel Database for Arabic Handwritten Recognition (NDAHR) System

AS Abdalkafor, ET Allawi, KW Al-Ani… - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Any proposed system for Arabic handwriting recognition systems requires a real and
substantial database. In this paper, A Novel Database for Arabic Handwritten Recognition …