Results 71 to 80 of about 445 (189)

Handwritten Signature Verification System using Sobel Operator and KNN Classifier [PDF]

, 2019
Signature is one of the most widely accepted personal attributes for identity verification. Signature verification is a scheme to verify cheque for bank security.
Soe Moe Myint, Moe Moe Myint, Aye Aye Cho   +2 more
core   +1 more source

Offline Handwritten Signature Identification based on Hybrid Features and Proposed Deep Model

Iraqi Journal for Computer Science and Mathematics
Handwritten signature identification is the process of identifying the true identity of an individual by analyzing their signature. This is an important task in applications such as financial transactions, legal documents, and biometric systems. Various
Zainab Hashim, Hanaa Mohsin, Ahmed Alkhayyat   +2 more
doaj   +1 more source

Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian–Genetic Optimization

Brain and Behavior, Volume 16, Issue 5, May 2026.
Tablet‐based handwriting tasks (spiral, meander, and wave) are transformed into unified images and analyzed using PD‐MGMA‐DSCNN, a lightweight multiscale gated attention network. Bayesian–genetic optimization improves performance, while SHAP attribution maps provide interpretable handwriting biomarkers for Parkinson's disease screening.
Khosro Rezaee, Ali Khalili Fakhrabadi
wiley   +1 more source

Offline handwritten signature verification using sift features [PDF]

, 2008
A Project report submitted to School of Graduate Studies in partial fulfillment for the award of Master of Science in Computer Science Degree of Makerere university.In this research we evaluate the use of SIFT features in offline handwritten signature ...
Karanja, Evanson Mwangi
core  

DJ4Earth: Differentiable, and Performance‐Portable Earth System Modeling via Program Transformations

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract Differentiable Earth system models (ESMs) enable powerful applications such as sensitivity analysis, gradient‐based calibration, state estimation, boundary flux inversions, uncertainty quantification, and online machine learning. Reverse‐mode automatic differentiation (AD) efficiently provides gradients for such tasks, yet models have rarely ...
William S. Moses, Gong Cheng, Valentin Churavy, Maximilian Gelbrecht, Milan Klöwer, Joseph Kump, Mathieu Morlighem, Sarah Williamson, Dhruv Apte, Paul Berg, Mosè Giordano, Christopher Hill, Nora Loose, Alexis Montoison, Sri Hari Krishna Narayanan, Avik Pal, Michel Schanen, Simone Silvestri, Greg Wagner, Patrick Heimbach   +19 more
wiley   +1 more source

Offline signature verification using geodesic derivative pattern [PDF]

In this paper, Geodesic Derivative Pattern (GDP) for Off-line handwritten signature verification is presented. We combine features based on both gray level and geometric information in the decision level.
Hajati, Farshid, Abdoli, Samaneh
core   +1 more source

Perspectives and Requirements of Patients with Prostate Cancer on Mobile Health Interventions During Androgen Deprivation Therapy: A Descriptive Qualitative Study

Journal of Clinical Nursing, Volume 35, Issue 5, Page 2400-2415, May 2026.
ABSTRACT Aim To explore the perceptions of patients with prostate cancer undergoing androgen deprivation therapy towards mobile health interventions. Design The study employed a qualitative descriptive design. Methods Seventeen participants were recruited from tertiary care hospitals from November 2022 to June 2023. The collected data were subsequently
Hongfan Yin, Chen Pan, Jia Gu, Yan Yang
wiley   +1 more source

Offline Handwritten Signature Verification Using a Stream-Based Approach

Handwritten Signature Verification (HSV) systems distinguish between genuine and forged signatures. Traditional HSV development involves a static batch configuration, constraining the system's ability to model signatures to the limited data available. Signatures exhibit high intra-class variability and are sensitive to various factors, including time ...
Kecia Gomes de Moura, Rafael M. O. Cruz, Robert Sabourin   +2 more
openaire   +2 more sources

Leveraging Expert Models for Training Deep Neural Networks in Scarce Data Domains: Application to Offline Handwritten Signature Verification [PDF]

, 2023
This paper introduces a novel approach to leverage the knowledge of existing expert models for training new Convolutional Neural Networks, on domains where task-specific data are limited or unavailable.
Tsourounis, Dimitrios, Theodorakopoulos, Ilias, Zois, Elias N., Economou, George   +3 more
core   +1 more source

Offline Signature Verification Using the Discrete Radon Transform and a Hidden Markov Model

EURASIP Journal on Advances in Signal Processing, 2004
We developed a system that automatically authenticates offline handwritten signatures using the discrete Radon transform (DRT) and a hidden Markov model (HMM).
du Preez JA, Coetzer J, Herbst BM
doaj   +1 more source