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Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition [PDF]
PeerJ Computer Science, 2022 Training deep learning based handwritten text recognition systems needs a lot of data in terms of text images and their corresponding annotations. One way to deal with this issue is to use data augmentation techniques to increase the amount of training ...
Mohamed Eltay +3 more
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Handwritten Text Recognition for Bengali [PDF]
2016 15th International Conference on Frontiers in Handwriting Recognition (ICFHR), 2016 This work has been partially supported through the European Union’s H2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943) and partially supported by MINECO/FEDER, UE under project TIN2015-70924-C2-1-R.
Sanchez, Joan Andreu, Pal, Umapada
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On developing handwritten character image database for Malayalam language script
Engineering Science and Technology, an International Journal, 2019 The objective of this paper is to build a handwritten character image database for Malayalam language script. Standard handwritten document image databases are an essential requirement for the development and objective evaluation of different handwritten
K. Manjusha, M. Anand Kumar, K.P. Soman
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AHWR-Net: offline handwritten amharic word recognition using convolutional recurrent neural network
SN Applied Sciences, 2021 Amharic ( ) is the official language of the Federal Government of Ethiopia, with more than 27 million speakers. It uses an Ethiopic script, which has 238 core and 27 labialized characters. It is a low-resourced language, and a few attempts have been made
Fetulhak Abdurahman +2 more
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Real-Time Pashto Handwritten Character Recognition Using Salient Geometric and Spectral Features
IEEE Access, 2021 Pashto scripts are cursive in nature and hard to recognize in real-time. Native speakers of the Pashto language are large in numbers and reside in different regions of the world.
Muhammad Shabir +8 more
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Proceedings 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tranScriptorium project aims to develop innovative, efficient and cost-effective solutions for annotating handwritten historical documents using modern, holistic Handwritten Text Recognition (HTR) technology.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 ...
Sanchez J.A. +7 more
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Handwriting-Based Text Line Segmentation from Malayalam Documents
Applied Sciences, 2023 Optical character recognition systems for Malayalam handwritten documents have become an open research area. A major hindrance in this research is the unavailability of a benchmark database. Therefore, a new database of 402 Malayalam handwritten document
Pearlsy P V, Deepa Sankar
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Deep Learning Based Models for Offline Gurmukhi Handwritten Character and Numeral Recognition
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022 Over the last few years, several researchers have worked on handwritten character recognition and have proposed various techniques to improve the performance of Indic and non-Indic scripts recognition.
Manoj Kumar Mahto +2 more
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Handwritten Text Recognition from Image
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: A computer vision program called Handwritten Text Recognition (HTR) attempts to recognize and translate handwritten text from scanned or photographed images. In this project, we suggest implementing an HTR system using Tesseract and OpenCV. English, Chinese, and Arabic are all supported by the popular open-source optical character recognition
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Exploration of advancements in handwritten document recognition techniques
Intelligent Systems with ApplicationsHandwritten document recognition and classification are among the many computers related issues being studied for digitizing handwritten data. A handwritten document comprises text, diagrams, mathematical expressions, numerals, and tables.
Vanita Agrawal +2 more
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