Results 11 to 20 of about 42,098,161 (146)
, 2023 With image-to-text character recognition now possible, this paper presents a speculative design of handwritten text recognition (HTR): asking what impact it may have on the historical method in the near-future? Through this speculative approach, we present a minimal design for the development of HTR, using evidence collected from a grounded theory ...
Nockels, Joe +2 more
core +11 more sources
Handwritten text recognition using deep learning techniques: A survey [PDF]
MATEC Web of ConferencesHTR (Handwritten Text Recognition) is the automated process of converting handwritten text into digital text, holding immense value in digitizing historical records and facilitating data entry.
Rakesh S. +3 more
doaj +2 more sources
Sharing Data for Handwritten Text Recognition (HTR)
Handwritten Text Recognition (HTR) is at present perhaps the principal application of Artificial Intelligence to the Digital Humanities. It falls under the category of supervised machine learning, and this in turn depends almost entirely on the data that is used for training.
Stokes, Peter, Kiessling, Benjamin
exaly +3 more sources
IEEE AccessHandwritten Text Recognition (HTR) models often exhibit optimization difficulty when trained with small batch sizes. In this study, we investigate the temporal behavior of CTC logits in Connectionist Temporal Classification (CTC)-based HTR models ...
Pham Doan Tinh, Ha Huu An
doaj +2 more sources
HTR-JAND: Handwritten Text Recognition with Joint Attention Network and Knowledge Distillation
The digitization and accurate recognition of handwritten historical documents remain crucial for preserving cultural heritage and making historical archives accessible to researchers and the public. Despite significant advances in deep learning, current Handwritten Text Recognition (HTR) systems struggle with the inherent complexity of historical ...
Mohammed Hamdan +2 more
openaire +3 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 +9 more sources
The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]
Journal of Data Mining and Digital Humanities, 2023 The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture +3 more
doaj +1 more source
EpiSearch. Identifying Ancient Inscriptions in Epigraphic Manuscripts [PDF]
Journal of Data Mining and Digital Humanities, 2023 Epigraphic documents are an essential source of evidence for our knowledge of the ancient world. Nonetheless, a significant number of inscriptions have not been preserved in their material form.
Lorenzo Calvelli +2 more
doaj +1 more source
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