Automatic signature verification: The state of the art
In recent years, along with the extraordinary diffusion of the Internet and a growing need for
personal verification in many daily applications, automatic signature verification is being …
personal verification in many daily applications, automatic signature verification is being …
A perspective analysis of handwritten signature technology
Handwritten signatures are biometric traits at the center of debate in the scientific
community. Over the last 40 years, the interest in signature studies has grown steadily …
community. Over the last 40 years, the interest in signature studies has grown steadily …
Multimodal fusion for multimedia analysis: a survey
This survey aims at providing multimedia researchers with a state-of-the-art overview of
fusion strategies, which are used for combining multiple modalities in order to accomplish …
fusion strategies, which are used for combining multiple modalities in order to accomplish …
Demographic bias in biometrics: A survey on an emerging challenge
Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …
commercial, and governmental identity management applications. Both cooperative (eg …
Learning features for offline handwritten signature verification using deep convolutional neural networks
Verifying the identity of a person using handwritten signatures is challenging in the presence
of skilled forgeries, where a forger has access to a person's signature and deliberately …
of skilled forgeries, where a forger has access to a person's signature and deliberately …
SDUMLA-HMT: A multimodal biometric database
Y Yin, L Liu, X Sun - … Recognition: 6th Chinese Conference, CCBR 2011 …, 2011 - Springer
In this paper, the acquisition and content of a new homologous multimodal biometric
database are presented. The SDUMLA-HMT database consists of face images from 7 view …
database are presented. The SDUMLA-HMT database consists of face images from 7 view …
Semi-supervised anomaly detection algorithms: A comparative summary and future research directions
While anomaly detection is relatively well-studied, it remains a topic of ongoing interest and
challenge, as our society becomes increasingly interconnected and digitalized. In this paper …
challenge, as our society becomes increasingly interconnected and digitalized. In this paper …
[BOOK][B] Encyclopedia of Biometrics: IZ.
SZ Li - 2009 - books.google.com
Biometrics refers to automated methods of recognizing a person based on physiological or
behavioral characteristics. Among the features measured are face, fingerprints, hand …
behavioral characteristics. Among the features measured are face, fingerprints, hand …
Handwriting biometrics: Applications and future trends in e-security and e-health
Online handwritten analysis presents many applications in e-security, signature biometrics
being the most popular but not the only one. Handwriting analysis also has an important set …
being the most popular but not the only one. Handwriting analysis also has an important set …
A Recurrent Neural Network based deep learning model for offline signature verification and recognition system
R Ghosh - Expert Systems with Applications, 2021 - Elsevier
With the recent advancement in information technology field, the demand to develop a
person authentication system through verifying their offline signatures is gradually …
person authentication system through verifying their offline signatures is gradually …