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 …
HMM-based on-line signature verification: Feature extraction and signature modeling
A function-based approach to on-line signature verification is presented. The system uses a
set of time sequences and Hidden Markov Models (HMMs). Development and evaluation …
set of time sequences and Hidden Markov Models (HMMs). Development and evaluation …
A probabilistic approach for damage identification and crack mode classification in reinforced concrete structures
A Farhidzadeh, S Salamone… - Journal of Intelligent …, 2013 - journals.sagepub.com
Reinforced concrete is subjected to deterioration due to aging, increased load, and natural
hazards. To minimize the maintenance costs and to increase the operation lifetime …
hazards. To minimize the maintenance costs and to increase the operation lifetime …
Collaborative mobile charging for sensor networks
The limited battery capacity of sensor nodes has become the biggest impediment to wireless
sensor network (WSN) applications. Two recent breakthroughs in the areas of wireless …
sensor network (WSN) applications. Two recent breakthroughs in the areas of wireless …
[图书][B] Biometric user authentication for IT security: from fundamentals to handwriting
C Vielhauer - 2005 - books.google.com
Biometric user authentication techniques evoke an enormous interest by science, industry
and society. Scientists and developers constantly pursue technology for automated …
and society. Scientists and developers constantly pursue technology for automated …
Usage of autoencoders and Siamese networks for online handwritten signature verification
K Ahrabian, B BabaAli - Neural computing and applications, 2019 - Springer
In this paper, we propose a novel writer-independent global feature extraction framework for
the task of automatic signature verification which aims to make robust systems for …
the task of automatic signature verification which aims to make robust systems for …
A writer identification system for on-line whiteboard data
In this paper we address the task of writer identification of on-line handwriting captured from
a whiteboard. Different sets of features are extracted from the recorded data and used to …
a whiteboard. Different sets of features are extracted from the recorded data and used to …
A novel online signature verification system based on GMM features in a DTW framework
A Sharma, S Sundaram - IEEE Transactions on Information …, 2016 - ieeexplore.ieee.org
This paper presents a novel online signature verification system based on the extension of
the traditional dynamic time warping (DTW) matching scheme. We propose the use of a set …
the traditional dynamic time warping (DTW) matching scheme. We propose the use of a set …
[HTML][HTML] Feature extraction based DCT on dynamic signature verification
Signature verification is one of the most accepted biometric techniques, because a signature
is a part of everyday life, although less accurate than biometric techniques such as using the …
is a part of everyday life, although less accurate than biometric techniques such as using the …
On-line signature verification
J Fierrez, J Ortega-Garcia - Handbook of biometrics, 2008 - Springer
Automatic signature verification is an important research area because of the social and
legal acceptance and widespread use of the handwritten signature as a personal …
legal acceptance and widespread use of the handwritten signature as a personal …