Results 41 to 50 of about 41,003,736 (265)

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, Eyob Sisay, Kinde Anlay Fante   +2 more
doaj   +1 more source

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, Naveed Islam, Zahoor Jan, Inayat Khan, Taj Rahman, Asim Zeb, Shafiq Ahmad, Abdelaty Edrees Abdelgawad, Mali Abdollahian   +8 more
doaj   +1 more source

Handwritten Text Recognition and Digital Text Conversion [PDF]

International Journal of Trend in Scientific Research and Development, 2019
Sometimes it is extremely difficult to secure handwritten documents in the real world. While doing so, we may encounter many problems such as misplacing the documents, unavailability of access from anywhere, physical damage, etc. So, to keep the information secure, we convert that information into digital format to address all the above mentioned ...
Mr. B. Ravinder Reddy, J. Nandini, P. Sowmya | Y. Sathwik   +2 more
openaire   +1 more source

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
doaj   +1 more source

Handwritten Text Recognition: A Survey

IEEE Transactions on Pattern Analysis and Machine Intelligence
Handwritten Text Recognition (HTR) has become an essential field within pattern recognition and machine learning, with applications spanning historical document preservation to modern data entry and accessibility solutions. The complexity of HTR lies in the high variability of handwriting, which makes it challenging to develop robust recognition ...
Carlos Garrido-Munoz, Antonio Ríos-Vila, Jorge Calvo-Zaragoza   +2 more
openaire   +3 more sources

Exploration of advancements in handwritten document recognition techniques

Intelligent Systems with Applications
Handwritten 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, Jayant Jagtap, M.V.V. Prasad Kantipudi   +2 more
doaj   +1 more source

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, Karamjit Bhatia, Rajendra Kumar Sharma   +2 more
doaj   +1 more source

Kurdish Handwritten Text Recognition

ARO-The Scientific Journal of Koya University
Based on the available peer-reviewed literature, Kurdish handwritten recognition remains at a nascent stage, with existing models limited to isolated character, digit, and word recognition.
Karez A. Hamad, Shareef M. Shareef
doaj   +1 more source

A system for the off-line recognition of handwritten text [PDF]

Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5), 2002
A new system for the recognition of handwritten text is described. The system goes from raw, binary scanned images of census forms to ASCII transcriptions of the fields contained within the forms. The first step is to locate and extract the handwritten input from the forms.
openaire   +3 more sources

Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2022
Word extraction is one of the most critical steps in handwritten recognition systems. It is challenging for many reasons, such as the variability of handwritten writing styles, touching and overlapping characters, skewness problems, diacritics ...
takwa Ben Aicha, Afef Kacem Echi
doaj   +1 more source