Results 21 to 30 of about 51,676 (187)
KOHTD: Kazakh offline handwritten text dataset
Signal Processing: Image Communication, 2022 Despite the transition to digital information exchange, many documents, such as invoices, taxes, memos and questionnaires, historical data, and answers to exam questions, still require handwritten inputs. In this regard, there is a need to implement Handwritten Text Recognition (HTR) which is an automatic way to decrypt records using a computer ...
Nazgul Toiganbayeva +6 more
openaire +2 more sources
A Self-recovery Digital Watermarking Approach for Tamper Detection of Handwritten and Printed Electronic Documents [PDF]
کتابداری و اطلاعرسانی, 2021 Objective: The aim of this study is to present a brief discussion of the digital image watermarking for texts in order to prove the documents authentication and copyright protection and to introduce a new method of digital watermarking of printed and ...
Azadeh Bastani, Esmaeel Fatemi Behbahani
doaj +1 more source
Exploring Deep Learning Approaches to Recognize Handwritten Arabic Texts
IEEE Access, 2020 Recognition of cursive handwritten Arabic text is a difficult problem because of context-sensitive character shapes, the non-uniform spacing between words and within a word, diverse placements of dots, and diacritics, and very low inter-class variation ...
Mohamed Eltay +2 more
doaj +1 more source
Teaching University Students to Read and Write [PDF]
, 2020 Recent government initiatives have required universities to include specific literacy and numeracy targets for the students. The authors – both members of the English discipline at Charles Sturt University – were invited to develop and run a two-semester
Daylight, Russell, O'Carroll, John
core +2 more sources
Unsupervised Adaptation for Synthetic-to-Real Handwritten Word Recognition
, 2020 Handwritten Text Recognition (HTR) is still a challenging problem because it must deal with two important difficulties: the variability among writing styles, and the scarcity of labelled data.
Fornés, Alicia +4 more
core +1 more source
A Unified Multilingual Handwriting Recognition System using multigrams sub-lexical units [PDF]
, 2018 We address the design of a unified multilingual system for handwriting recognition. Most of multi- lingual systems rests on specialized models that are trained on a single language and one of them is selected at test time.
Paquet, Thierry +2 more
core +2 more sources
PedagogikaObjectives: This study examines how contemporary generative language models can support archival and historical work with Czech handwritten texts, focusing on transcription and basic preliminary analysis, and it outlines key limitations and ethical ...
Klára Rybenská, Sylva Sklenářová
doaj +7 more sources
Historical Analyses of Disordered Handwriting [PDF]
, 2017 Handwritten texts carry significant information, extending beyond the meaning of their words. Modern neurology, for example, benefits from the interpretation of the graphic features of writing and drawing for the diagnosis and monitoring of diseases and ...
Deborah Thorpe, Markus Schiegg
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TEXT CONTENT DEPENDENT WRITER IDENTIFICATION [PDF]
, 2016 Text content based personal Identification system is vital in resolving problem of identifying unknown document’s writer using a set of handwritten samples from alleged known writers.
Adefunminiyi, Morakinyo A +1 more
core +1 more source
Oriental Studies, 2023 Introduction. The issues of identifying primary sources for handwritten Oirat-language (Clear Script) collections and selections of texts preserved by Kalmyks, delineating their constituent elements, finding correspondences between the former and Tibetan-
Deliash N. Muzraeva
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