Application of unmanned aerial vehicles and image processing techniques in monitoring underwater coastal protection measures
A prerequisite for solving issues associated with surf zone variability, which affect human
activity in coastal zones, is an accurate estimation of the effects of coastal protection …
activity in coastal zones, is an accurate estimation of the effects of coastal protection …
Dataset agnostic document object detection
Localizing document objects such as tables, figures, and equations is a primary step for
extracting information from document images. We propose a novel end-to-end trainable …
extracting information from document images. We propose a novel end-to-end trainable …
Persian printed text line detection based on font size
Text line segmentation is an essential step in the process of converting document images
into text. In OCR systems, text line segmentation affects the character segmentation stage …
into text. In OCR systems, text line segmentation affects the character segmentation stage …
An evaluation of utilizing geometric features for wheat grain classification using X-ray images
Nowadays, with the rapid development of digital image processing, there has been a
notable increase in elaborating advanced tools for studying the internal structure of objects …
notable increase in elaborating advanced tools for studying the internal structure of objects …
Segmentation of scanned documents using deep-learning approach
In the paper we present an approach to the automatic segmentation of interesting elements
from paper documents ie stamps, logos, printed text blocks, signatures, and tables …
from paper documents ie stamps, logos, printed text blocks, signatures, and tables …
Comparison of discriminant methods and deep learning analysis in plant taxonomy: a case study of Elatine
Elatine is a genus in which, flower and seed characteristics are the most important
diagnostic features; ie seed shape and the structure of its cover found to be the most reliable …
diagnostic features; ie seed shape and the structure of its cover found to be the most reliable …
An adaptive text-line extraction algorithm for printed Arabic documents with diacritics
The performance of document text recognition depends on text line segmentation
algorithms, which heavily relies on the type of language, author's writing style, pen type, and …
algorithms, which heavily relies on the type of language, author's writing style, pen type, and …
[PDF][PDF] Putting humans back in the loop: a study in human-machine cooperative learning
M Gnjatović, N Maček, S Adamović - Acta Polytechnica Hungarica, 2020 - epa.niif.hu
This paper introduces a novel approach to human-machine collaborative learning that
allows for the chronically missing human learnability in the context of supervised machine …
allows for the chronically missing human learnability in the context of supervised machine …
[PDF][PDF] An Efficient Method for Stamps Recognition Using Histogram Moment with Haar Wavelet Sub-bands
One major problem facing some environments, such as insurance companies and
government institutions, is when a massive amount of documents has to be processed every …
government institutions, is when a massive amount of documents has to be processed every …
An efficient method for stamps verification using haar wavelet sub-bands with histogram and moment
Stamps have been used as visible certificates for documents since long time ago. At present,
they are used for certifying official books, memos, agreements those government institutions …
they are used for certifying official books, memos, agreements those government institutions …