Advancements and challenges in handwritten text recognition: A comprehensive survey
Handwritten Text Recognition (HTR) is essential for digitizing historical documents in
different kinds of archives. In this study, we introduce a hybrid form archive written in French …
different kinds of archives. In this study, we introduce a hybrid form archive written in French …
Lexicon-free handwritten word spotting using character HMMs
For retrieving keywords from scanned handwritten documents, we present a word spotting
system that is based on character Hidden Markov Models. In an efficient lexicon-free …
system that is based on character Hidden Markov Models. In an efficient lexicon-free …
Deep learning for handwriting text recognition: existing approaches and challenges
N Teslya, S Mohammed - 2022 31st Conference of Open …, 2022 - ieeexplore.ieee.org
In recent years, Handwritten Text Recognition (HTR) has attracted widespread attention due
to its huge applications. HTR is the process of extracting handwritten text from an image and …
to its huge applications. HTR is the process of extracting handwritten text from an image and …
A survey of historical document image datasets
This paper presents a systematic literature review of image datasets for document image
analysis, focusing on historical documents, such as handwritten manuscripts and early …
analysis, focusing on historical documents, such as handwritten manuscripts and early …
Diva-hisdb: A precisely annotated large dataset of challenging medieval manuscripts
F Simistira, M Seuret, N Eichenberger… - … on Frontiers in …, 2016 - ieeexplore.ieee.org
This paper introduces a publicly available historical manuscript database DIVA-HisDB for
the evaluation of several Document Image Analysis (DIA) tasks. The database consists of …
the evaluation of several Document Image Analysis (DIA) tasks. The database consists of …
HTR-Flor: A deep learning system for offline handwritten text recognition
AF de Sousa Neto, BLD Bezerra… - 2020 33rd SIBGRAPI …, 2020 - ieeexplore.ieee.org
In recent years, Handwritten Text Recognition (HTR) has captured a lot of attention among
the researchers of the computer vision community. Current state-of-the-art approaches for …
the researchers of the computer vision community. Current state-of-the-art approaches for …
Transcription alignment of Latin manuscripts using hidden Markov models
Transcriptions of historical documents are a valuable source for extracting labeled
handwriting images that can be used for training recognition systems. In this paper, we …
handwriting images that can be used for training recognition systems. In this paper, we …
ARDIS: a Swedish historical handwritten digit dataset
This paper introduces a new image-based handwritten historical digit dataset named Arkiv
Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish …
Digital Sweden (ARDIS). The images in ARDIS dataset are extracted from 15,000 Swedish …
Towards the natural language processing as spelling correction for offline handwritten text recognition systems
AFS Neto, BLD Bezerra, AH Toselli - Applied Sciences, 2020 - mdpi.com
The increasing portability of physical manuscripts to the digital environment makes it
common for systems to offer automatic mechanisms for offline Handwritten Text Recognition …
common for systems to offer automatic mechanisms for offline Handwritten Text Recognition …
Fine-tuning vision encoder–decoder transformers for handwriting text recognition on historical documents
Handwritten text recognition (HTR) has seen significant advancements in recent years,
mainly due to the incorporation of deep learning techniques. One area of HTR that has …
mainly due to the incorporation of deep learning techniques. One area of HTR that has …