Capsule network with its limitation, modification, and applications—A survey
Numerous advancements in various fields, including pattern recognition and image
classification, have been made thanks to modern computer vision and machine learning …
classification, have been made thanks to modern computer vision and machine learning …
Comprehensive dataset building and recognition of isolated handwritten kannada characters using machine learning models
C Hebbi, HR Mamatha - Artificial Intelligence and …, 2023 - ojs.bonviewpress.com
In this work, an attempt is made to build a dataset for handwritten Kannada characters and
also to recognize the isolated Kannada vowels, consonants, modifiers, and ottaksharas. The …
also to recognize the isolated Kannada vowels, consonants, modifiers, and ottaksharas. The …
[HTML][HTML] Towards integration of artificial intelligence into medical devices as a real-time recommender system for personalised healthcare: State-of-the-art and future …
In the era of big data, artificial intelligence (AI) algorithms have the potential to revolutionize
healthcare by improving patient outcomes and reducing healthcare costs. AI algorithms …
healthcare by improving patient outcomes and reducing healthcare costs. AI algorithms …
Handwritten Urdu characters and digits recognition using transfer learning and augmentation with AlexNet
Automated recognition of handwritten characters and digits is a challenging task. Although a
significant amount of literature exists for automatic recognition of handwritten characters of …
significant amount of literature exists for automatic recognition of handwritten characters of …
Multilingual handwritten numeral recognition using a robust deep network joint with transfer learning
Numeral recognition plays a crucial role in creating automated systems such as posting
address sorting and license plate recognition. Nowadays, numeral recognition systems …
address sorting and license plate recognition. Nowadays, numeral recognition systems …
An intelligent approach for Arabic handwritten letter recognition using convolutional neural network
Currently, digital transformation has occurred in most countries in the world to varying
degrees, but digitizing business processes are complex in terms of understanding the …
degrees, but digitizing business processes are complex in terms of understanding the …
PHTI: Pashto handwritten text imagebase for deep learning applications
Document Image Analysis (DIA) is one of the research areas of Artificial Intelligence (AI) that
converts document images into machine-readable codes. In DIA systems, Optical Character …
converts document images into machine-readable codes. In DIA systems, Optical Character …
Pioneer dataset and recognition of Handwritten Pashto characters using Convolution Neural Networks
This paper presents an efficient OCR system for the recognition of offline Pashto isolated
characters. The lack of an appropriate dataset makes it challenging to match against a …
characters. The lack of an appropriate dataset makes it challenging to match against a …
[PDF][PDF] Recognition of Urdu Handwritten Alphabet Using Convolutional Neural Network (CNN).
Handwritten character recognition systems are used in every field of life nowadays,
including shopping malls, banks, educational institutes, etc. Urdu is the national language of …
including shopping malls, banks, educational institutes, etc. Urdu is the national language of …
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 …