Results 11 to 20 of about 2,034 (261)

A Residual-Attention Offline Handwritten Chinese Text Recognition Based on Fully Convolutional Neural Networks

open access: yesIEEE Access, 2021
Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various writing styles, complex character-touching, and large number of character categories.
Yintong Wang   +3 more
doaj   +1 more source

DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters

open access: yesIEEE Access, 2022
Many problems can reduce handwritten character recognition performance, such as image degradation, light conditions, low-resolution images, and even the quality of the capture devices.
Sarayut Gonwirat, Olarik Surinta
doaj   +1 more source

End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning

open access: yesIEEE Access, 2023
Recognizing handwritten text is a challenging task, especially for scripts with numerous alphabets and symbols. The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms. However,
Ruchika Malhotra, Maru Tesfaye Addis
doaj   +1 more source

Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters

open access: yesEgyptian Informatics Journal, 2023
According to UNESCO's Atlas of the World's Languages in Danger, 40% of the languages today are counted as endangered in the future. Indigenous languages are endangered because of the less availability of interactive learning mediums for those languages ...
Kanchon Kanti Podder   +10 more
doaj   +1 more source

Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features

open access: yesIEEE Access, 2021
Pashto scripts are cursive in nature and hard to recognize in real-time. Native speakers of the Pashto language are large in numbers and reside in different regions of the world.
Muhammad Shabir   +8 more
doaj   +1 more source

Handwritten Hindi character recognition: a review [PDF]

open access: yesIET Image Processing, 2018
As the years passed by, computers became more powerful and automation became the need of generation. Humans tried to automate their work and replace themselves with machines. This effort of transition from manual to automatic gave rise to various research fields, and document character recognition is one such field.
Madhuri Yadav   +2 more
openaire   +1 more source

On developing handwritten character image database for Malayalam language script

open access: yesEngineering Science and Technology, an International Journal, 2019
The objective of this paper is to build a handwritten character image database for Malayalam language script. Standard handwritten document image databases are an essential requirement for the development and objective evaluation of different handwritten
K. Manjusha, M. Anand Kumar, K.P. Soman
doaj   +1 more source

ON-LINE HANDWRITTEN ARABIC CHARACTER RECOGNITION BASED ON GENETIC ALGORITHM

open access: yesDiyala Journal of Engineering Sciences, 2012
On-line Arabic handwritten character recognition is one of the most challenging problems in pattern recognition field. By now, printed Arabic character recognition and on-line Arabic handwritten recognition has been gradually practical, while offline ...
Haithem Abd Al-RaheemTaha
doaj   +1 more source

End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model

open access: yesIEEE Access, 2023
Overview: Handwriting recognition (HR) involves converting handwritten text into machine-readable text. Tamil handwritten document recognition remains a challenging process in various text real-world applications owing to the differences in the sizes ...
C. Vinotheni, S. Lakshmana Pandian
doaj   +1 more source

Self-supervised adaptation for on-line script text recognition

open access: yesELCVIA Electronic Letters on Computer Vision and Image Analysis, 2005
We have recently developed in our lab a text recognizer for on-line texts written on a touch-terminal. We present in this paper several strategies to adapt this recognizer in a self-supervised way to a given writer and compare them to the supervised ...
Loic Oudot   +2 more
doaj   +1 more source

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