Script independent text segmentation of document images using graph network based shortest path scheme
Document image processing is one of the growing research fields in the digital world for
applications like data base indexing, text recognition, signature verification, web-searching …
applications like data base indexing, text recognition, signature verification, web-searching …
GAN-based text line segmentation method for challenging handwritten documents
Text line segmentation (TLS) is an essential step of the end-to-end document analysis
systems. The main purpose of this step is to extract the individual text lines of any …
systems. The main purpose of this step is to extract the individual text lines of any …
TBRm: A Time Representation Method for Industrial Knowledge Graph
K Cao, C Zheng - Applied Sciences, 2022 - mdpi.com
With the development of the artificial intelligence industry, Knowledge Graph (KG), as a
concise and intuitive data presentation form, has received extensive attention and research …
concise and intuitive data presentation form, has received extensive attention and research …
Text Line Segmentation on Ancient Egyptian Papyri: Layout Analysis with Object Detection Networks and Connected Components
SM Unter - International Conference on Document Analysis and …, 2024 - Springer
The automatic localization of text lines is an important step in the analysis of handwritten
historical documents. It is a valuable tool for further analysis, such as studying handwriting …
historical documents. It is a valuable tool for further analysis, such as studying handwriting …
Recent Advances in Text Line Segmentation and Baseline Detection in Historical Document Images: A Systematic Review
The purpose of this survey is to provide a comprehensive overview of recent advancements
in text line segmentation and baseline detection techniques within the analysis of historic …
in text line segmentation and baseline detection techniques within the analysis of historic …
Utilizing Artificial Intelligence for Text Segmentation from Images.
MH ABDULLAH, P BIŠEVAC… - Przeglad …, 2024 - search.ebscohost.com
The paper presents a deep learning-based approach for text segmentation from images,
utilizing a combination of a Fully Convolutional Network (FCN) and a Recurrent Neural …
utilizing a combination of a Fully Convolutional Network (FCN) and a Recurrent Neural …