Results 21 to 30 of about 41,108,015 (283)
International Journal of Advanced Research in Science, Communication and Technology: The project's primary aim is to develop an efficient system specialized in recognizing handwritten text, facilitating the smooth conversion of handwritten text images into digital text format.
Lydia Deborah Isaac +3 more
semanticscholar +6 more sources
End-to-End page-Level assessment of handwritten text recognition [PDF]
Pattern Recognition, 2023 The evaluation of Handwritten Text Recognition (HTR) systems has traditionally used metrics based on the edit distance between HTR and ground truth (GT) transcripts, at both the character and word levels.
Alejandro Toselli +2 more
exaly +2 more sources
Handwritten Text Recognition for Documentary Medieval Manuscripts [PDF]
Journal of Data Mining and Digital Humanities, 2023 Handwritten Text Recognition (HTR) techniques aim to accurately recognize sequences of characters in input manuscript images by training artificial intelligence models to capture historical writing features.
Sergio Torres Aguilar, Vincent Jolivet
doaj +2 more sources
Handwritten Text Recognition from Crowdsourced Annotations [PDF]
Proceedings of the 7th International Workshop on Historical Document Imaging and Processing, 2023 In this paper, we explore different ways of training a model for handwritten text recognition when multiple imperfect or noisy transcriptions are available.
Solène Tarride +4 more
semanticscholar +5 more sources
Handwritten Text Recognition and Linguistic Research
Digital Humanities in the Nordic and Baltic Countries Publications, 2020 This paper presents ongoing work with automatic transcription of handwritten, phonetically precise dialect texts from the south-west of Sweden (collected in the 1890s).
Erik Magnusson Petzell
doaj +3 more sources
Discrete representation learning for handwritten text recognition
Neural Computing and Applications, 2023 Handwritten text recognition, i.e., the conversion of scanned handwritten documents into machine-readable text, is a complex exercise due to the variability and complexity of handwriting.
Arianna Traviglia, Homa Davoudi
exaly +2 more sources
CNN-RNN BASED HANDWRITTEN TEXT RECOGNITION
ICTACT Journal on Soft Computing, 2021 At present most of the scripts are handwritten due to the ease of using a pen tip in place of a keyboard, hence errors are common due to illegibility of the human handwriting. To avoid this problem handwriting recognition is essential.
Hemanth G R +4 more
doaj +2 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
Best Practices for a Handwritten Text Recognition System
International Workshop on Document Analysis Systems, 2022 Handwritten text recognition has been developed rapidly in the recent years, following the rise of deep learning and its applications. Though deep learning methods provide notable boost in performance concerning text recognition, non-trivial deviation in
George Retsinas +3 more
semanticscholar +5 more sources
On the Generalization of Handwritten Text Recognition Models
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Recent advances in Handwritten Text Recognition (HTR) have led to significant reductions in transcription errors on standard benchmarks under the i.i.d. assumption, thus focusing on minimizing in-distribution (ID) errors.
Carlos Garrido-Munoz +1 more
semanticscholar +4 more sources