Innovative region convolutional neural network algorithm for object identification
Object identification is a part of the field of computer science, namely, image processing,
whose research continues to innovate. Object identification describes an object based on …
whose research continues to innovate. Object identification describes an object based on …
Generate, transform, and clean: the role of GANs and transformers in palm leaf manuscript generation and enhancement
Palm leaf manuscripts offer a rich source of data critical for document analysis tasks,
including character, word, and text analysis. However, their cleaning and denoising present …
including character, word, and text analysis. However, their cleaning and denoising present …
A convolutional neural network-based ancient sundanese character classifier with data augmentation
With an increasing interest in the digitization effort of ancient manuscripts, ancient character
recognition becomes one of the most important areas in the automated document image …
recognition becomes one of the most important areas in the automated document image …
Improving isolated glyph classification task for palm leaf manuscripts
Digitization of ancient palm leaf manuscripts is gaining momentum due to the limited
datasets and complex features of text images of palm leaf manuscripts. Thus far, the …
datasets and complex features of text images of palm leaf manuscripts. Thus far, the …
Indiscapes: Instance segmentation networks for layout parsing of historical indic manuscripts
A Prusty, S Aitha, A Trivedi… - … on Document Analysis …, 2019 - ieeexplore.ieee.org
Historical palm-leaf manuscript and early paper documents from Indian subcontinent form
an important part of the world's literary and cultural heritage. Despite their importance, large …
an important part of the world's literary and cultural heritage. Despite their importance, large …
[HTML][HTML] Text line extraction strategy for palm leaf manuscripts
Text line segmentation is an important step in the historical document image analysis
pipeline to supply useful information for recognition, keyword spotting and indexing. Many …
pipeline to supply useful information for recognition, keyword spotting and indexing. Many …
Character and text recognition of khmer historical palm leaf manuscripts
This paper presents methods for two historical document analysis tasks on digitized Khmer
palm leaf manuscripts. The first task consisting of isolated character recognition is conducted …
palm leaf manuscripts. The first task consisting of isolated character recognition is conducted …
[HTML][HTML] Eco-friendly weeding through precise detection of growing points via efficient multi-branch convolutional neural networks
Weeds can give negative effects for plant growth, and effectively controlling them is a
significant challenge. Traditional methods, such as herbicides, may not be environmentally …
significant challenge. Traditional methods, such as herbicides, may not be environmentally …
Manuscripts character recognition using machine learning and deep learning
MA Islam, IE Iacob - Modelling, 2023 - mdpi.com
The automatic character recognition of historic documents gained more attention from
scholars recently, due to the big improvements in computer vision, image processing, and …
scholars recently, due to the big improvements in computer vision, image processing, and …
A reconfigurable fractional interpolation hardware for VVC motion compensation
Fractional interpolation is one of the most computationally complex parts of video
compression standards. Fractional interpolation in Versatile Video Coding (VVC) standard …
compression standards. Fractional interpolation in Versatile Video Coding (VVC) standard …