Results 21 to 30 of about 79,075 (205)

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

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

Handwritten Character Recognition from Images using CNN-ECOC

open access: yesProcedia Computer Science, 2020
Recently, deep learning and character recognition have drawn the attention of many researchers. The deep neural networks have state-of-the-art performance in solving many classification and recognition problems.
Mayur Bhargab Bora   +3 more
semanticscholar   +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

Handwritten Tamil character recognition

open access: yesInternational journal of health sciences, 2022
This paper focuses on recognizing Tamil characters that are handwritten and displaying their digital variant. Tamil is a regional language and one of the classical languages of India. Tamil literature has a significance of over four thousands years and many of those literatures are yet to be digitized. The main objective of this paper is to convert old
M L Harini   +3 more
openaire   +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

TextCaps: Handwritten Character Recognition With Very Small Datasets [PDF]

open access: yesIEEE Workshop/Winter Conference on Applications of Computer Vision, 2019
Many localized languages struggle to reap the benefits of recent advancements in character recognition systems due to the lack of substantial amount of labeled training data.
Vinoj Jayasundara   +5 more
semanticscholar   +1 more source

DBN Fusion Model for Offline Handwritten Chinese Characters Recognition

open access: yesJournal of Harbin University of Science and Technology, 2017
The requirement of the recognition result is also increasing in practical applications. In this paper,a new classifier cascade recognition model is proposed for the problem of offline handwritten Chinese character recognition.
LIU Lu, SUN Wei-wei, DING Bo
doaj   +1 more source

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