Results 11 to 20 of about 41,003,736 (265)

Urdu handwritten text recognition: a survey [PDF]

open access: yesIET 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

Automated Handwritten Text Recognition [PDF]

open access: yesE3S 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   +2 more sources

Enhancement of handwritten text recognition using AI-based hybrid approach [PDF]

open access: yesMethodsX
Handwritten 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   +2 more sources

Handwritten Text Recognition and Linguistic Research

open access: yesDigital 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

A Pipeline Approach to Context-Aware Handwritten Text Recognition

open access: yesApplied 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   +3 more sources

CNN-RNN BASED HANDWRITTEN TEXT RECOGNITION

open access: yesICTACT 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

ET-Network: A novel efficient transformer deep learning model for automated Urdu handwritten text recognition. [PDF]

open access: yesPLoS ONE
Automatic 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   +2 more sources

tranScriptorium [PDF]

open access: yesProceedings of the 2013 ACM symposium on Document engineering, 2013
The tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology. Three actions are planned in tranScriptorium: i) improve basic image preprocessing and holistic HTR techniques; ii) develop novel indexing ...
Joan-Andreu Sánchez   +7 more
core   +6 more sources

Enhancing handwritten text recognition accuracy with gated mechanisms [PDF]

open access: yesScientific Reports
Handwritten 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   +2 more sources

Multi-stage deep learning framework for robust recognition of overlapping and faded handwritten text in bank cheques [PDF]

open access: yesScientific Reports
Automated recognition of handwritten text on bank cheques is crucial for streamlining financial transactions and reducing manual errors. However, traditional systems often encounter two significant challenges: differentiating overlapping handwritten and ...
Hitesh Chaitanyaswami   +6 more
doaj   +2 more sources

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