Results 11 to 20 of about 2,577,807 (291)
Component-based Segmentation of words from handwritten Arabic text [PDF]
, 2009 Efficient preprocessing is very essential for automatic recognition of handwritten documents. In this paper, techniques on segmenting words in handwritten Arabic text are presented.
AlKhateeb, J. H. +3 more
core +5 more sources
Performance of hidden Markov model and dynamic Bayesian network classifiers on handwritten Arabic word recognition [PDF]
, 2011 This paper presents a comparative study of two machine learning techniques for recognizing handwritten Arabic words, where hidden Markov models (HMMs) and dynamic Bayesian networks (DBNs) were evaluated.
Alkhateeb, Jawad H. +3 more
core +4 more sources
HMM-based Offline Recognition of Handwritten Words Crossed Out with Different Kinds of Strokes [PDF]
, 2008 In this work, we investigate the recognition of words that have been crossed-out by the writers and are thus degraded. The degradation consists of one or more ink strokes that span the whole word length and simulate the signs that writers use to cross ...
Vinciarelli, A., Likforman-Sulem, L.
core +8 more sources
Handwritten text generation and strikethrough characters augmentation
Компьютерная оптика, 2022 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
IEEE 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
IEEE 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
IEEE 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 The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms.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
Egyptian 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
IEEE 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
Engineering 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