Results 51 to 60 of about 956,220 (295)

Automatic signature verification system [PDF]

, 2013
Philosophiae Doctor - PhDIn this thesis, we explore dynamic signature verification systems. Unlike other signature models, we use genuine signatures in this project as they are more appropriate in real world applications.
Malladi, Raghuram
core  

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

iSignDB: A database for smartphone signature biometrics

Data in Brief, 2020
The signature has long been in use for the user verification. These signatures have user specific features that differentiate the individual for authentication. The signature verification can be offline or online.
Suraiya Jabin, Sumaiya Ahmad, Sarthak Mishra, Farhana Javed Zareen   +3 more
doaj   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Offline Signature Verification Using Online Handwriting Registration [PDF]

2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007
This paper proposes a novel framework for offline signature verification. Different from previous methods, our approach makes use of online handwriting instead of handwritten images for registration. The online registrations enable robust recovery of the writing trajectory from an input offline signature and thus allow effective shape matching between ...
Yu Qiao 0001, Jianzhuang Liu, Xiaoou Tang   +2 more
openaire   +2 more sources

Off-line signature verification [PDF]

, 2009
In today’s society signatures are the most accepted form of identity verification. However, they have the unfortunate side-effect of being easily abused by those who would feign the identification or intent of an individual.
Larkins, Robert L.
core  

ENHANCED SCHEME FOR HANDWRITTEN OFFLINE SIGNATURE VERIFICATION

, 2016
Handwritten Signature Verification is a b road area. It has been broadly researched in the last decades but there is an open research problem. There are so me possibilities to improve the results.
Nagraj V. Dharwadkar, Mrs. Rutuja M. Shinde,   +1 more
core   +1 more source

Dynamic Reconstruction‐Engineered Heterointerfaces for Acidic Hydrogen Evolution at Ampere‐Level Current Density

Advanced Science, EarlyView.
A dynamic reconstruction strategy was utilized to construct PtCu/Cu3P heterostructures on the surface of self‐supporting Cu3P nanowires. The loose porosity in the restructured layer, together with a dynamic “dissolution‐redeposition” equilibrium during electrocatalysis, enables the electrode to maintain a low, stable overpotential for 240 h at ampere ...
Kaixi Wang, Yunshan Zheng, Chengzong Yuan, Kwun Nam Hui   +3 more
wiley   +1 more source

Embedding Riemannian Collective Background Knowledge for Offline Signature Verification

Machine Learning and Knowledge Extraction
While handwritten signatures are a staple of biometric authentication, conventional verification models typically rely on Euclidean space assumptions, restricting the capture of complex, intrinsic signature structures.
Evangelos Mitikas, Christos Chorianopoulos, Elias Zois   +2 more
doaj   +1 more source