Results 11 to 20 of about 1,922 (260)
Handwritten Character Recognition
Handwritten characters are seen everywhere in our day-to-day life. Almost all the things we do involve letters, from writing cheques to writing notes manually. Handwritten character recognition is considered as a core to a diversity of emerging application by using the concepts of machine learning.
openaire +2 more sources
Handwritten text generation and strikethrough characters augmentation
We introduce two data augmentation techniques, which, used with a Resnet-BiLSTM-CTC network, significantly reduce Word Error Rate and Character Error Rate beyond best-reported results on handwriting text recognition tasks.
A.V. Shonenkov +5 more
doaj +1 more source
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
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DeblurGAN-CNN: Effective Image Denoising and Recognition for Noisy Handwritten Characters
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
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 The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms.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
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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
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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
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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
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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
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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
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