In situ polymerized MXene/polypyrrole/hydroxyethyl cellulose-based flexible strain sensor enabled by machine learning for handwriting recognition
Flexible strain sensors have significant progress in the fields of human–computer
interaction, medical monitoring, and handwriting recognition, but they also face many …
interaction, medical monitoring, and handwriting recognition, but they also face many …
Efficient Assamese Word Recognition for Societal Empowerment: A Comparative Feature-Based Analysis
The preservation and digitization of historical data are crucial for ensuring the continuity and
accessibility of information over successive generations. The present study investigates the …
accessibility of information over successive generations. The present study investigates the …
Advances in Offline Handwritten Signature Recognition Research: A Review
Z Wang, M Muhammat, N Yadikar, A Aysa… - IEEE Access, 2023 - ieeexplore.ieee.org
A person's handwritten signature, one of the methods frequently used to confirm their
identity, is used exclusively to confirm the biometric identification of different financial, legal …
identity, is used exclusively to confirm the biometric identification of different financial, legal …
E2timt: Efficient and effective modal adapter for text image machine translation
Text image machine translation (TIMT) aims to translate texts embedded in images from one
source language to another target language. Existing methods, both two-stage cascade and …
source language to another target language. Existing methods, both two-stage cascade and …
CNN based recognition of handwritten multilingual city names
It is important to recognize the destination city name correctly for a postal document to reach
its desired address. In India people often mix up scripts while writing the address. Often the …
its desired address. In India people often mix up scripts while writing the address. Often the …
Bagging: An ensemble approach for recognition of handwritten place names in gurumukhi script
In this article, the authors present an effort to recognize handwritten Gurumukhi place names
for use in postal automation. Five feature extraction techniques (zoning, horizontal peak …
for use in postal automation. Five feature extraction techniques (zoning, horizontal peak …
Handwritten Arabic and Roman word recognition using holistic approach
The research community considers handwritten word recognition (HWR) as an open
research problem to date. The reasons behind this are variations in intra-/interpersonal …
research problem to date. The reasons behind this are variations in intra-/interpersonal …
An efficient liver disease prediction using mask-regional convolutional neural network and pelican optimization algorithm
Various prediction approaches regarding liver diseases have been developed. Still, they are
expensive and more complex. This work aims to design an effective method for identifying …
expensive and more complex. This work aims to design an effective method for identifying …
Worddeepnet: handwritten gurumukhi word recognition using convolutional neural network
Deep learning models are considered a revolutionary learning paradigm in artificial
intelligence and machine learning, piquing the interest of image recognition and computer …
intelligence and machine learning, piquing the interest of image recognition and computer …
On the performance analysis of various features and classifiers for handwritten devanagari word recognition
Holistic-based or segmentation-free handwritten word recognition is one of a pattern
recognition problem that aims to recognize the entire word image as a single entity. It is a …
recognition problem that aims to recognize the entire word image as a single entity. It is a …