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
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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
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Handwritten Text Recognition and Linguistic Research [PDF]
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
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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
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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
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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
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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
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Multi-stage deep learning framework for robust recognition of overlapping and faded handwritten text in bank cheques [PDF]
Scientific ReportsAutomated 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
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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
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Online Chinese and English Handwriting Recognition Method Based on Multiple Rules and Path Evaluation [PDF]
Jisuanji gongcheng, 2022 Handwritten text recognition is mainly used in text input technology, which plays a key role in the development of human-computer interaction.To address the lack of functionality for Chinese and English mixed handwritten text recognition in most online ...
FU Pengbin, LIU Penghui, YANG Huirong, DONG Aojing
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