[PDF][PDF] Segmentation and measurement of lung pathological changes for COVID-19 diagnosis based on computed tomography
ABSTRACT Coronavirus 2019 (COVID-19) spread internationally in early 2020, resulting
from an existential health disaster. Automatic detecting of pulmonary infections based on …
from an existential health disaster. Automatic detecting of pulmonary infections based on …
[PDF][PDF] LOCALISATION OF TEXT IN A NATURAL SCENE IMAGE BASED ON DEVANAGARI SCRIPT RULE USING DEEP LEARNING
Text localization play a crucial role in scene images to read the text content effectively. There
have been built many deep learning (DL) rooted models for classification as well as …
have been built many deep learning (DL) rooted models for classification as well as …
Document analysis and recognition: a survey
The journey of research for Document Analysis and Recognition (DAR) started with the
problem of automatic character recognition. Today, it has covered a vast span of recognition …
problem of automatic character recognition. Today, it has covered a vast span of recognition …
Empirical monocomponent image decomposition
Monocomponent image decomposition plays an important role in image analysis and
related areas, such as image denoising, object detection, and texture segmentation. Existing …
related areas, such as image denoising, object detection, and texture segmentation. Existing …
Integrating Wavelet Coefficients and CNN for Recognizing Handwritten Characters
Convolutional Neural Network (CNN) based image recognition has shown significant
progress in recent years. It has achieved state-of-art results in field of pattern recognition …
progress in recent years. It has achieved state-of-art results in field of pattern recognition …
Content video browsing based on text regions extraction and classification using Convolutional Neural Network
Text within video frames carries important information for a visual content understanding,
retrieval and browsing. In this paper, we propose a video-text region extraction and …
retrieval and browsing. In this paper, we propose a video-text region extraction and …
Detecting Text in the Scene Text Image Using Fast Fourier Transform
Text in images express a lot of information for image understanding. Detecting and
recognizing text facilitates many important applications. The characteristics of a text with …
recognizing text facilitates many important applications. The characteristics of a text with …
Transform-based text detection approach in images
Nowadays, every document is very essential to be digitized. Increase in the gadgets where
everyone likes to take the information in the form of images, but these images contains …
everyone likes to take the information in the form of images, but these images contains …
An Evaluation and Validation of Contemporary Approaches in Scene Text Extraction and Recognition
Abstract In recent decades, Scene Text Extraction and Recognition (STER) has remarkably
attracted many researchers from the area of image processing and computer vision. Most of …
attracted many researchers from the area of image processing and computer vision. Most of …
[PDF][PDF] Hybrid Wavelet based Technique for Text Extraction from Images
AV Kaur, A Verma - academia.edu
This paper reviews the current state of the art in handwriting recognition research. The paper
deals with issues such as hand-printed character and cursive handwritten word recognition …
deals with issues such as hand-printed character and cursive handwritten word recognition …