Offline recognition of handwritten Indic scripts: A state-of-the-art survey and future perspectives
The handwritten script recognition is one of the most interesting and challenging areas of
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
pattern recognition due to numerous variations in writing styles. Extensive in-depth research …
Devnet: an efficient cnn architecture for handwritten devanagari character recognition
The writing style is a unique characteristic of a human being as it varies from one person to
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
another. Due to such diversity in writing style, handwritten character recognition (HCR) …
BengaliNet: a low-cost novel convolutional neural network for Bengali handwritten characters recognition
Featured Application Optical Character Recognition for Handwritten Bengali Numerals,
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …
Basic and Compound Characters. Abstract As it is the seventh most-spoken language and …
A review on handwritten text segmentation in Indian languages
M Moitra, SK Saha - International Journal of Machine Learning and …, 2024 - Springer
Word segmentation is a crucial phase for handwritten text recognition. When the input image
contains several words written into multiple text lines, it is essential to separate or segment …
contains several words written into multiple text lines, it is essential to separate or segment …
HCR-Net: A deep learning based script independent handwritten character recognition network
Handwritten character recognition (HCR) remains a challenging pattern recognition problem
despite decades of research, and lacks research on script independent recognition …
despite decades of research, and lacks research on script independent recognition …
Development of an effective character segmentation and efficient feature extraction technique for malayalam character recognition from palm leaf manuscripts
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 …
[PDF][PDF] Quantum particle swarm optimization based convolutional neural network for handwritten script recognition
Even though several advances have been made in recent years, handwritten script
recognition is still a challenging task in the pattern recognition domain. This field has gained …
recognition is still a challenging task in the pattern recognition domain. This field has gained …
Ensemble adaptive convolutional neural networks with parameter transfer for rotating machinery fault diagnosis
There exist many rotating machinery parts, and many types of failure modes, including
single failure modes and compound failure modes. This brings high requirements on the …
single failure modes and compound failure modes. This brings high requirements on the …
Udbnet: Unsupervised document binarization network via adversarial game
Degraded document image binarization is one of the most challenging tasks in the domain
of document image analysis. In this paper, we present a novel approach towards document …
of document image analysis. In this paper, we present a novel approach towards document …
Data augmentation for handwritten character recognition of MODI script using deep learning method
Deep learning-based methods such as convolutional neural networks are extensively used
for various pattern recognition tasks. To successfully carry out these tasks, a large amount of …
for various pattern recognition tasks. To successfully carry out these tasks, a large amount of …