Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey
S Singh, A Sharma, VK Chauhan - Artificial Intelligence Review, 2023 - Springer
Handwriting recognition has become an active area of research in pattern recognition and
machine learning in recent years. Handwriting recognition systems have a variety of …
machine learning in recent years. Handwriting recognition systems have a variety of …
Gated convolutional recurrent neural networks for multilingual handwriting recognition
In this paper, we propose a new neural network architecture for state-of-the-art handwriting
recognition, alternative to multi-dimensional long short-term memory (MD-LSTM) recurrent …
recognition, alternative to multi-dimensional long short-term memory (MD-LSTM) recurrent …
A comprehensive survey on word recognition for non-Indic and Indic scripts
The term handwriting recognition is used to describe the capability of a computer system to
transform human handwriting into machine processable text. Handwriting recognition has …
transform human handwriting into machine processable text. Handwriting recognition has …
On the recognition of offline handwritten word using holistic approach and AdaBoost methodology
Offline handwritten word recognition assumes an imperative part in the domain of document
analysis and recognition. This article describes a technique for the recognition of offline …
analysis and recognition. This article describes a technique for the recognition of offline …
Handwritten Bangla city name word recognition using CNN-based transfer learning and FCN
R Pramanik, S Bag - Neural Computing and Applications, 2021 - Springer
Decomposition of a word into a set of appropriate pseudo-characters is a challenging task in
case of a cursive script like Bangla. Segmentation-free approach bypasses the …
case of a cursive script like Bangla. Segmentation-free approach bypasses the …
A convolutional recursive deep architecture for unconstrained Urdu handwriting recognition
An offline handwriting recognition system for Urdu, a language with a user base of 200
Million and written in Nastaleeq script, has been a challenge for the research community …
Million and written in Nastaleeq script, has been a challenge for the research community …
Character spotting and autonomous tagging: offline handwriting recognition for Bangla, Korean and other alphabetic scripts
This paper demonstrates a framework for offline handwriting recognition using character
spotting and autonomous tagging which works for any alphabetic script. Character spotting …
spotting and autonomous tagging which works for any alphabetic script. Character spotting …
Segmentation-free bangla offline handwriting recognition using sequential detection of characters and diacritics with a faster r-cnn
This paper presents an offline handwriting recognition system for Bangla script using
sequential detection of characters and diacritics with a Faster R-CNN. This is an entirely …
sequential detection of characters and diacritics with a Faster R-CNN. This is an entirely …
Towards spotting and recognition of handwritten words in Indic scripts
Handwriting recognition (HWR) in Indic scripts is a challenging problem due to the inherent
subtleties in the scripts, cursive nature of the handwriting and similar shape of the …
subtleties in the scripts, cursive nature of the handwriting and similar shape of the …
Manuscripts character recognition using machine learning and deep learning
MA Islam, IE Iacob - Modelling, 2023 - mdpi.com
The automatic character recognition of historic documents gained more attention from
scholars recently, due to the big improvements in computer vision, image processing, and …
scholars recently, due to the big improvements in computer vision, image processing, and …