Deep learning for automated forgery detection in hyperspectral document images
Deep learning is revolutionizing the already rapidly developing field of computer vision. The
convolutional neural network (CNN) is a state-of-the-art deep learning tool that learns high …
convolutional neural network (CNN) is a state-of-the-art deep learning tool that learns high …
The onhw dataset: Online handwriting recognition from imu-enhanced ballpoint pens with machine learning
This paper presents a handwriting recognition (HWR) system that deals with online
character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data …
character recognition in real-time. Our sensor-enhanced ballpoint pen delivers sensor data …
Leveraging ShuffleNet transfer learning to enhance handwritten character recognition
QA Al-Haija - Gene Expression Patterns, 2022 - Elsevier
Handwritten character recognition has continually been a fascinating field of study in pattern
recognition due to its numerous real-life applications, such as the reading tools for blind …
recognition due to its numerous real-life applications, such as the reading tools for blind …
Hand written digit recognition using machine learning
R Sethi, I Kaushik - 2020 IEEE 9th International Conference on …, 2020 - ieeexplore.ieee.org
Hand-written character and digit recognition have been one of the most exigent and
engrossing field of pattern recognition and image processing. The main aim of this paper is …
engrossing field of pattern recognition and image processing. The main aim of this paper is …
A Comprehensive Survey on Handwritten Gujarati Character and Its Modifier Recognition Methods
PD Doshi, PA Vanjara - … for Competitive Strategies (ICTCS 2020) ICT …, 2021 - Springer
In India, handwritten character recognition is becoming necessity regionalwise due to new
education policy 2020. Various technologies are applied to solve the problem in this area …
education policy 2020. Various technologies are applied to solve the problem in this area …
Crowd density estimation in still images using multiple local features and boosting regression ensemble
Crowd density estimation is a challenging research problem in computer vision and has
many applications in commercial and defense sectors. Various crowd density estimation …
many applications in commercial and defense sectors. Various crowd density estimation …
Size invariant handwritten character recognition using single layer feedforward backpropagation neural networks
Handwritten character recognition is among the most challenging research areas in pattern
recognition and image processing. With everything going digital, applications of handwritten …
recognition and image processing. With everything going digital, applications of handwritten …
Image set quality optimization for handwritten Gujarati character and its modifier recognition
PD Doshi, PA Vanjara - 2022 9th International Conference on …, 2022 - ieeexplore.ieee.org
The problem of recognizing handwritten Gujarati characters has been tried by many
researchers but still it requires enough work from vowel recognition up to its online …
researchers but still it requires enough work from vowel recognition up to its online …
A Survey on Datasets, Feature Extraction and Classification Techniques Used in Personality Classification from Handwriting
P Garg, NK Garg - International Conference on Machine Learning …, 2024 - Springer
Prediction of demographic characteristics of a person from handwriting is an upcoming new
area of research as previous research mainly focused on the recognition of characters …
area of research as previous research mainly focused on the recognition of characters …
Automated Latin text detection in document images and natural scene images based on connected component analysis
MJ Khan, N Said, A Khan, N Rehman… - 2019 2nd …, 2019 - ieeexplore.ieee.org
Robust and accurate detection of text in natural scene images and document images is a
very challenging and common research problem. Over the past few decades, a variety of …
very challenging and common research problem. Over the past few decades, a variety of …