[HTML][HTML] A systematic review on machine learning models for online learning and examination systems
Examinations or assessments play a vital role in every student's life; they determine their
future and career paths. The COVID pandemic has left adverse impacts in all areas …
future and career paths. The COVID pandemic has left adverse impacts in all areas …
An overview of recent work in media forensics: Methods and threats
In this paper, we review recent work in media forensics for digital images, video, audio
(specifically speech), and documents. For each data modality, we discuss synthesis and …
(specifically speech), and documents. For each data modality, we discuss synthesis and …
Attention based writer independent verification
The task of writer verification is to provide a likelihood score for whether the queried and
known handwritten image samples belong to the same writer or not. Such a task calls for the …
known handwritten image samples belong to the same writer or not. Such a task calls for the …
Gender prediction system through behavioral biometric handwriting: a comprehensive review
Identification of a person on the basis of different characteristics is a prevailing area of
research. Both behavioral biometrics and physical biometrics are used as measures to …
research. Both behavioral biometrics and physical biometrics are used as measures to …
A blockchain-based forensic model for financial crime investigation: the embezzlement scenario
L Zarpala, F Casino - Digital Finance, 2021 - Springer
The financial crime landscape is evolving along with the digitisation of financial services.
Laws, regulations and forensic methodologies cannot efficiently cope with the growth pace …
Laws, regulations and forensic methodologies cannot efficiently cope with the growth pace …
Signature verification using convolutional neural network
Signatures are widely used to validate the authentication of an individual. A robust method is
still awaited that can correctly certify the authenticity of a signature. The proposed solution …
still awaited that can correctly certify the authenticity of a signature. The proposed solution …
Comparison among different cnn architectures for signature forgery detection using siamese neural network
S Jain, M Khanna, A Singh - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Signature is the most common way to indicate knowledge and acceptance of a document.
As many documents and contracts are now starting to use paperless electronic formats, the …
As many documents and contracts are now starting to use paperless electronic formats, the …
An efficient transfer learning model for predicting forged (handwritten) signature
Signature fraud around the world is increasing at an alarming rate. Fraud in the signature
may harm a person or an organization by false transactions and false document …
may harm a person or an organization by false transactions and false document …
On the Use of Convolutional Neural Networks for Palm Vein Recognition
MAE Eladlani, SS Kaddour, L Boubchir… - … Conference on Big …, 2022 - ieeexplore.ieee.org
Palm vein recognition is a biometric method for individuals' authentication and/or
identification based on the unique patterns of veins in the palms of their hands. This paper …
identification based on the unique patterns of veins in the palms of their hands. This paper …
Beyond Human Forgeries: An Investigation into Detecting Diffusion-Generated Handwriting
Methods for detecting forged handwriting are usually based on the assumption that the
forged handwriting is produced by humans. Authentic-looking handwriting, however, can …
forged handwriting is produced by humans. Authentic-looking handwriting, however, can …