A performance evaluation of convolutional neural networks for face anti spoofing
C Nagpal, SR Dubey - 2019 international joint conference on …, 2019 - ieeexplore.ieee.org
In the current era, biometric based access control is becoming more popular due to its
simplicity and ease to use by the users. It reduces the manual work of identity recognition …
simplicity and ease to use by the users. It reduces the manual work of identity recognition …
PixISegNet: pixel‐level iris segmentation network using convolutional encoder–decoder with stacked hourglass bottleneck
In this paper, we present a new iris ROI segmentation algorithm using a deep convolutional
neural network (NN) to achieve the state‐of‐the‐art segmentation performance on well …
neural network (NN) to achieve the state‐of‐the‐art segmentation performance on well …
Deep learning-driven palmprint and finger knuckle pattern-based multimodal Person recognition system
Biometric recognition systems are widely being used in several applications due to its
distinctiveness and reliability. In recent years, hand-based person recognition has received …
distinctiveness and reliability. In recent years, hand-based person recognition has received …
From Geometry to Deep Learning: An Overview of Finger Knuckle Biometrics Recognition Approaches
U Sumalatha, KK Prakasha, S Prabhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Biometric identification technologies are crucial for enhancing security through reliable
personal authentication methods. Among these modalities, finger knuckle biometrics stands …
personal authentication methods. Among these modalities, finger knuckle biometrics stands …
Selection of optimized features for fusion of palm print and finger knuckle‐based person authentication
The impact of digital technology in biometrics is much more efficient at interpreting data than
humans, which results in completely replacement of manual identification procedures in …
humans, which results in completely replacement of manual identification procedures in …
Feature-level fusion of major and minor dorsal finger knuckle patterns for person authentication
The identification of individuals by their finger dorsal patterns has become a very active area
of research in recent years. In this paper, we present a multimodal biometric personal …
of research in recent years. In this paper, we present a multimodal biometric personal …
Single-sensor hand-vein multimodal biometric recognition using multiscale deep pyramidal approach
Biometrics has emerged as a powerful technology for person authentication in various
scenarios including forensic and civilian applications. Deployment of biometric solutions that …
scenarios including forensic and civilian applications. Deployment of biometric solutions that …
CED-Net: context-aware ear detection network for unconstrained images
Personal authentication systems based on biometric have seen a strong demand mainly
due to the increasing concern in various privacy and security applications. Although the use …
due to the increasing concern in various privacy and security applications. Although the use …
Deep rule-based classifier for finger knuckle pattern recognition system
In this paper, we proposed a novel finger knuckle pattern (FKP) based personal
authentication system using multilayer deep rule based (DRB) classifier. The presented …
authentication system using multilayer deep rule based (DRB) classifier. The presented …
Robust end-to-end hand identification via holistic multi-unit knuckle recognition
In many cases of serious crime, images of a hand can be the only evidence available for the
forensic identification of the offender. As well as placing them at the scene, such images and …
forensic identification of the offender. As well as placing them at the scene, such images and …