Bangla handwritten character and digit recognition using deep convolutional neural network on augmented dataset and its applications
H Huda, MAI Fahad, M Islam… - 2022 16th International …, 2022 - ieeexplore.ieee.org
Bangla Handwritten digit and character recognition, a complex computer vision problem that
is important for the Bengali language as the progress in this segment for the Bengali …
is important for the Bengali language as the progress in this segment for the Bengali …
Bangla handwritten character recognition using deep convolutional autoencoder neural network
MA Azad, HS Singha… - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Handwritten Character Recognition (HCR) is one of the most challenging tasks in the field of
pattern recognition and computer vision. In image classification, performance can be …
pattern recognition and computer vision. In image classification, performance can be …
Kdanet: Handwritten character recognition for Bangla language using deep learning
Character recognition is the numerical conversion of images in typed, handwritten, or printed
format which allows a computer to recognize them. Bangla is one of the most complex …
format which allows a computer to recognize them. Bangla is one of the most complex …
Borno: Bangla handwritten character recognition using a multiclass convolutional neural network
Handwriting recognition is still not a solved problem. With the advancements in artificial
intelligence and machine learning, the construction of Optical Character Recognition …
intelligence and machine learning, the construction of Optical Character Recognition …
Handwritten Bangla character recognition using convolutional neural networks: a comparative study and new lightweight model
Handwriting is a crucial way to enhance character recognition and learn new words.
However, the Bangla characters consist of very complex shapes and similar patterns. Deep …
However, the Bangla characters consist of very complex shapes and similar patterns. Deep …
[PDF][PDF] Handwritten Bengali Alphabets, Compound Characters and Numerals Recognition Using CNN-based Approach
Accurately classifying user-independent handwritten Bengali characters and numerals
presents a formidable challenge in their recognition. This task becomes more complicated …
presents a formidable challenge in their recognition. This task becomes more complicated …
DigiNet: Prediction of Assamese handwritten digits using convolutional neural network
P Dutta, NB Muppalaneni - Concurrency and computation …, 2021 - Wiley Online Library
Numerous work focusing on Indian Languages for automatically recognizing characters has
been witnessed in literature in the last few decades. But it was observed that only a handful …
been witnessed in literature in the last few decades. But it was observed that only a handful …
Soft computing approaches for character credential and word prophecy analysis with stone encryptions
V Vani, SR Ananthalakshmi - Soft Computing, 2020 - search.proquest.com
The uniform corpus of untranslated script is a preliminary stage for computational epigraphy.
Mechanizing this process through deep learning algorithms will be an essential support to …
Mechanizing this process through deep learning algorithms will be an essential support to …
[HTML][HTML] BNVGLENET: Hypercomplex Bangla handwriting character recognition with hierarchical class expansion using Convolutional Neural Networks
Object recognition technology has made significant strides where recognizing handwritten
Bangla characters including symbols, compounds form, etc. remains a challenging problem …
Bangla characters including symbols, compounds form, etc. remains a challenging problem …
A Deep Learning Approach for Bangla Handwritten Character Recognition
For many purposes, such as document digitalization and linguistic study, handwritten
character recognition is essential. This experiment offers a novel method for reading …
character recognition is essential. This experiment offers a novel method for reading …