Development of an effective character segmentation and efficient feature extraction technique for malayalam character recognition from palm leaf manuscripts
D Sudarsan, D Sankar - Sādhanā, 2023 - Springer
The paper developed a novel character segmentation and feature extraction technique for
old Malayalam Palm leaf manuscripts. The generic novel segmentation algorithm developed …
old Malayalam Palm leaf manuscripts. The generic novel segmentation algorithm developed …
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 …
Pattern recognition based tasks and achievements on handwritten Bengali character recognition
Bengali, is not only a major language in two states West Bengal, and Tripura of India, but it is
the main language of an Entire country Bangladesh. Having such large application areas of …
the main language of an Entire country Bangladesh. Having such large application areas of …
Bangla aspect-based sentiment analysis based on corresponding term extraction
FA Naim - 2021 International Conference on Information and …, 2021 - ieeexplore.ieee.org
Aspect-based sentiment analysis is a text analysis technique that extracts and separates
each aspect term and identifies the sentiment polarity associated with each aspect term …
each aspect term and identifies the sentiment polarity associated with each aspect term …
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 …
BanglaNet: Bangla Handwritten Character Recognition using Ensembling of Convolutional Neural Network
Handwritten character recognition is a crucial task because of its abundant applications. The
recognition task of Bangla handwritten characters is especially challenging because of the …
recognition task of Bangla handwritten characters is especially challenging because of the …
[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 …
Apparatus and methods for extracting data from lineless tables using Delaunay triangulation and excess edge removal
A method for extracting data from lineless tables includes storing an image including a table
in a memory. A processor operably coupled to the memory identifies a plurality of text-based …
in a memory. A processor operably coupled to the memory identifies a plurality of text-based …
An automated system for recognizing isolated handwritten Bangla characters using deep convolutional neural network
Among various handwritten character recognition of different languages, Bangla stands as
one of the most challenging tasks. Because of its unique texture and morphologically …
one of the most challenging tasks. Because of its unique texture and morphologically …