Results 101 to 110 of about 956,220 (295)

Signature verification by geometry and image processing

open access: yesNonlinear Engineering
In this article, we present an algorithm to determine the authenticity of a signature with high probability. This study addresses the increasing need for robust and accurate methods of verifying offline signatures, which are crucial in various legal and ...
Jaber Ebaa Abdulsattar   +2 more
doaj   +1 more source

Expert Consensus on the Management of Obesity in Older Adults (2026 Edition)

open access: yesAGING MEDICINE, EarlyView.
This graphical abstract summarizes a safety‐first framework for managing obesity in older adults, with attention to age, functional status, comorbidities, and sarcopenia risk. Key assessments include BMI, waist measures, body fat percentage, skeletal muscle mass, and comprehensive geriatric evaluation. Management prioritizes reducing visceral fat while
Qi Pan, Lixin Guo
wiley   +1 more source

Offline signature verification

open access: yes
Handwritten signature remains a widely used behavioural biometric, supporting the importance of a robust offline signature verification. However, offline signature verification remains difficult due to high intra-class variability, high inter-class ...
Ding, Jimmy Jia Kang
core  

A comparison of feature extraction approaches for offline signature verification

open access: yes, 2011
International audienceThis paper proposes two systems for offline signature verification based on a global and on a local approach respectively. The features used consist of different kinds of geometrical, statistical and structural features.
El Yacoubi, Mounim   +9 more
core   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

open access: yesAdvanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon   +3 more
wiley   +1 more source

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

open access: yesEURASIP 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

An examination of quantitative methods for Forensic Signature Analysis and the admissibility of signature verification system as legal evidence. [PDF]

open access: yes, 2015
The experiments described in this thesis deal with handwriting characteristics which are involved in the production of forged and genuine signatures and complexity of signatures.
Chatzisterkotis, Thomas
core  

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

Ultralow‐Power Floating‐Gate InGaZnO Content‐Addressable Memory for Wearable Electrocardiogram Anomaly Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a subthreshold in‐memory anomaly detection architecture for wearable ECG monitoring using floating‐gate IGZO content‐addressable memories on a flexible substrate. Area‐engineered coupling provides a high subthreshold slope, while subthreshold operation realizes intrinsic exponential distance evaluation and linear voltage sensing ...
Hyung‐Jun Noh   +4 more
wiley   +1 more source

Handwritten Signature Verification using Deep Learning [PDF]

open access: yes
Every person has his/her own unique signature that is used mainly for the purposes of personal identification and verification of important documents or legal transactions. There are two kinds of signature verification: static and dynamic.
Barhoom, Alaa M.   +6 more
core   +3 more sources

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