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

