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End-To-End Deep-Learning-Based Tamil Handwritten Document Recognition and Classification Model
IEEE Access, 2023 Overview: Handwriting recognition (HR) involves converting handwritten text into machine-readable text. Tamil handwritten document recognition remains a challenging process in various text real-world applications owing to the differences in the sizes ...
C. Vinotheni, S. Lakshmana Pandian
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International Journal of Advanced Research in Science, Communication and TechnologyHandwritten text detection refers to the capacity of a computer system to interpret and understand handwritten input from various sources such as paper documents, touch displays, and photographs. Within the realm of pattern recognition, one specific area is handwritten text recognition, which involves categorizing and interpreting handwritten text.
null Tanishq Rampure +4 more
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PHTI: Pashto Handwritten Text Imagebase for Deep Learning Applications
IEEE Access, 2022 Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that converts document images into machine-readable codes. In DIA systems, Optical Character Recognition (OCR) plays a key role in digitizing document images.
Ibrar Hussain +5 more
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End-to-End Historical Handwritten Ethiopic Text Recognition Using Deep Learning
IEEE Access, 2023 Recognizing handwritten text is a challenging task, especially for scripts with numerous alphabets and symbols. The Ethiopic script has a vast character set and is used for historical documents in typewritten, handwritten, and hand-printed forms. However,
Ruchika Malhotra, Maru Tesfaye Addis
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IEEE Access, 2021 Offline handwritten Chinese text recognition is one of the most challenging tasks in that it involves various writing styles, complex character-touching, and large number of character categories.
Yintong Wang +3 more
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Handwritten Character Recognition to Obtain Editable Text [PDF]
E3S Web of Conferences, 2023 Optical character recognition involves distinguishing, grouping, and, in specific cases, remedying optical images/designs in a computerized picture.
Pravalika Jella +3 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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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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The Challenges of Recognizing Offline Handwritten Chinese: A Technical Review
Applied Sciences, 2023 Offline handwritten Chinese recognition is an important research area of pattern recognition, including offline handwritten Chinese character recognition (offline HCCR) and offline handwritten Chinese text recognition (offline HCTR), which are closely ...
Lu Shen +5 more
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Urdu handwritten text recognition: a survey
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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