[HTML][HTML] Applications of big data analytics to control COVID-19 pandemic
The COVID-19 epidemic has caused a large number of human losses and havoc in the
economic, social, societal, and health systems around the world. Controlling such epidemic …
economic, social, societal, and health systems around the world. Controlling such epidemic …
Advances in online handwritten recognition in the last decades
The easy availability and rapid use of online devices like Take note, PDA, smartphones, etc.
at an affordable price increase the demand for online handwriting recognition. In this …
at an affordable price increase the demand for online handwriting recognition. In this …
A deep learning-based framework for automatic brain tumors classification using transfer learning
Brain tumors are the most destructive disease, leading to a very short life expectancy in their
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
highest grade. The misdiagnosis of brain tumors will result in wrong medical intercession …
DT2F-TLNet: A novel text-independent writer identification and verification model using a combination of deep type-2 fuzzy architecture and Transfer Learning …
Identifying and verifying the identity of people based on scanned images of handwritten
documents is an applicable biometric modality with applications in forensic and historic …
documents is an applicable biometric modality with applications in forensic and historic …
Automatic visual features for writer identification: a deep learning approach
Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …
not new. No one can repudiate its applications in a number of domains, such as forensic …
Biometric signature authentication using machine learning techniques: Current trends, challenges and opportunities
K Bibi, S Naz, A Rehman - Multimedia Tools and Applications, 2020 - Springer
Biometric systems are playing a key role in the multitude of applications and placed at the
center of debate in the scientific research community. Among the numerous biometric …
center of debate in the scientific research community. Among the numerous biometric …
Encoding pathlet and SIFT features with bagged VLAD for historical writer identification
Offline writer identification plays an important role in forensic document examination and
historical document analysis. Today, challenges still exist in historical writer identification …
historical document analysis. Today, challenges still exist in historical writer identification …
[HTML][HTML] Review on chest pathogies detection systems using deep learning techniques
Chest radiography is the standard and most affordable way to diagnose, analyze, and
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
examine different thoracic and chest diseases. Typically, the radiograph is examined by an …
[HTML][HTML] A bibliometric analysis of off-line handwritten document analysis literature (1990–2020)
Providing computers with the ability to process handwriting is both important and
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …
challenging, since many difficulties (eg, different writing styles, alphabets, languages, etc.) …
[HTML][HTML] iVision HHID: Handwritten hyperspectral images dataset for benchmarking hyperspectral imaging-based document forensic analysis
This article presents a dataset of hyperspectral images of handwriting samples collected
from 54 individuals. The purpose of the presented dataset is to further explore the use of …
from 54 individuals. The purpose of the presented dataset is to further explore the use of …