Handwritten text recognition remains a popular area of research. An analysis of these
techniques is more necessary. This article is practically interested in a bibliographic study on …

Machine translation models have discrete vocabularies and commonly use subword
segmentation techniques to achieve an'open vocabulary.'This approach relies on consistent …

Arabic handwriting recognition is considered among the most important and challenging
recognition research subjects due to the cursive nature of writing and the similarities …

Handwriting recognition refers to recognizing a handwritten input that includes character (s)
or digit (s) based on an image. Because most applications of handwriting recognition in real …

Synthetic data generation for optical character recognition (OCR) promises unlimited
training data at zero annotation cost. With enough fonts and seed text, we should be able to …

Abstract Today's Arabic Handwriting recognition systems are able to recognize arbitrary
words over a large but finite vocabulary. Systems operating with a fixed vocabulary are …

Super-resolving a low resolution (LR) document image can not only enhance the visual
quality and readability of the text, but improve the optical character recognition (OCR) …

Industry 4.0, a term invented by Wolfgang Wahlster in Germany, is celebrating its 10th
anniversary in 2021. Still, the digitalization of the production environment is one of the …

Large-scale document processing pipelines are required to recognize text in many different
languages. The writing systems for these languages cover a diverse set of scripts, such as …

This paper presents recognition of anomalously deformed Kana sequences in Japanese
historical documents, for which a contest was held by IEICE PRMU 2017. The contest was …