Results 11 to 20 of about 41,003,736 (265)
Urdu handwritten text recognition: a survey [PDF]
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]
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]
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
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
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
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]
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
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tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology.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]
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]
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

