Multilingual scene character recognition with co-occurrence of histogram of oriented gradients
Automatic machine reading of texts in scenes is largely restricted by the poor character
recognition accuracy. In this paper, we extend the Histogram of Oriented Gradient (HOG) …
recognition accuracy. In this paper, we extend the Histogram of Oriented Gradient (HOG) …
Discriminative block-diagonal representation learning for image recognition
Existing block-diagonal representation studies mainly focuses on casting block-diagonal
regularization on training data, while only little attention is dedicated to concurrently learning …
regularization on training data, while only little attention is dedicated to concurrently learning …
Region-based discriminative feature pooling for scene text recognition
CY Lee, A Bhardwaj, W Di… - Proceedings of the …, 2014 - openaccess.thecvf.com
We present a new feature representation method for scene text recognition problem,
particularly focusing on improving scene character recognition. Many existing methods rely …
particularly focusing on improving scene character recognition. Many existing methods rely …
Scene text recognition in mobile applications by character descriptor and structure configuration
Text characters and strings in natural scene can provide valuable information for many
applications. Extracting text directly from natural scene images or videos is a challenging …
applications. Extracting text directly from natural scene images or videos is a challenging …
A novel machine learning approach for scene text extraction
Image based text extraction is a popular and challenging research field in computer vision in
recent times. In this paper, an exigent aspect such as natural scene text identification and …
recent times. In this paper, an exigent aspect such as natural scene text identification and …
Scene text deblurring using text-specific multiscale dictionaries
Texts in natural scenes carry critical semantic clues for understanding images. When
capturing natural scene images, especially by handheld cameras, a common artifact, ie …
capturing natural scene images, especially by handheld cameras, a common artifact, ie …
Convolutional neural network with joint stepwise character/word modeling based system for scene text recognition
Text recognition in the wild is a challenging task in the field of computer vision and machine
learning. Existing optical character recognition engines cannot perform well in the natural …
learning. Existing optical character recognition engines cannot perform well in the natural …
Ensemble deep learning model for optical character recognition
In modern deep learning, character recognition in images is a very important field of study
due to its has many real life applications. The goal of this paper is to create the state-of-the …
due to its has many real life applications. The goal of this paper is to create the state-of-the …
Cursive character recognition in natural scene images using a multilevel convolutional neural network fusion
The accuracy of current natural scene text recognition algorithms is limited by the poor
performance of character recognition methods for these images. The complex backgrounds …
performance of character recognition methods for these images. The complex backgrounds …
An explainable artificial intelligence model for detecting xenophobic tweets
GI Pérez-Landa, O Loyola-González… - Applied Sciences, 2021 - mdpi.com
Xenophobia is a social and political behavior that has been present in our societies since
the beginning of humanity. The feeling of hatred, fear, or resentment is present before …
the beginning of humanity. The feeling of hatred, fear, or resentment is present before …