Enhancement of handwritten text recognition using AI-based hybrid approach [PDF]
MethodsXHandwritten text recognition (HTR) within computer vision and image processing stands as a prominent and challenging research domain, holding significant implications for diverse applications.
Supriya Mahadevkar +2 more
doaj +3 more sources
Automated Handwritten Text Recognition [PDF]
E3S Web of Conferences, 2023 A computer’s capacity to recognize and convert handwritten inputs from sources like photographs and paper documents into digital format is known as Automated Handwritten Text Recognition (AHTR).
Ram Kumar R.P. +4 more
doaj +3 more sources
Urdu handwritten text recognition: a survey [PDF]
IET Image Processing, 2020 Work on the problem of handwritten text recognition in Urdu script has been an active research area. A significant progress is made in this interesting and challenging field in the last few years.
Mujtaba Husnain +5 more
doaj +4 more sources
Advancements and Challenges in Handwritten Text Recognition: A Comprehensive Survey [PDF]
Journal of ImagingHandwritten Text Recognition (HTR) is essential for digitizing historical documents in different kinds of archives.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: the Belfort civil registers of births.
Franck Gechter +2 more
exaly +3 more sources
ET-Network: A novel efficient transformer deep learning model for automated Urdu handwritten text recognition. [PDF]
PLoS ONEAutomatic Urdu handwritten text recognition is a challenging task in the OCR industry. Unlike printed text, Urdu handwriting lacks a uniform font and structure. This lack of uniformity causes data inconsistencies and recognition issues. Different writing
Ameer Hamza, Shengbing Ren, Usman Saeed
doaj +3 more sources
Enhancing handwritten text recognition accuracy with gated mechanisms [PDF]
Scientific ReportsHandwritten Text Recognition (HTR) is a challenging task due to the complex structures and variations present in handwritten text. In recent years, the application of gated mechanisms, such as Long Short-Term Memory (LSTM) networks, has brought ...
Ravikumar Chinthaginjala +7 more
doaj +3 more sources
A Pipeline Approach to Context-Aware Handwritten Text Recognition
Applied Sciences, 2022 Despite concerted efforts towards handwritten text recognition, the automatic location and transcription of handwritten text remain a challenging task.
Yee Fan Tan +3 more
doaj +4 more sources
Understanding the application of handwritten text recognition technology in heritage contexts: a systematic review of Transkribus in published research. [PDF]
Arch Sci (Dordr), 2022 Handwritten Text Recognition (HTR) technology is now a mature machine learning tool, becoming integrated in the digitisation processes of libraries and archives, speeding up the transcription of primary sources and facilitating full text searching and ...
Nockels J, Gooding P, Ames S, Terras M.
europepmc +2 more sources
Handwritten Text Recognition: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine IntelligenceHandwritten Text Recognition (HTR) has become an essential field within pattern recognition and machine learning, with applications spanning historical document preservation to modern data entry and accessibility solutions.
Carlos Garrido-Munoz +2 more
semanticscholar +4 more sources
Assessing advanced handwritten text recognition engines for digitizing historical documents. [PDF]
Int J Digit HumanitThis study provides critical insights and evaluates the performance of state-of-the-art Handwritten Text Recognition (HTR) engines—PyLaia, HTR + , IDA, TrOCR-f, and Transkribus’ proprietary Transformer-based “supermodel” Titan—to digitize historical ...
Romein CA +3 more
europepmc +2 more sources