Multibiometric fusion strategy and its applications: A review
The unimodal biometric based system faced several inherent problems like lack of
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
uniqueness, intra-class variation, non-universality, noisy data (presence of dirt on the …
Knuckle print biometrics and fusion schemes--overview, challenges, and solutions
Numerous behavioral or physiological biometric traits, including iris, signature, hand
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …
geometry, speech, palm print, face, etc. have been used to discriminate individuals in a …
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 …
The fall of one, the rise of many: a survey on multi-biometric fusion methods
LM Dinca, GP Hancke - IEEE Access, 2017 - ieeexplore.ieee.org
Increasing operational and security demands changed biometrics by shifting the focus from
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …
single to multi-biometrics. Multi-biometrics are mandatory in the current context of large …
Multiple texture information fusion for finger-knuckle-print authentication system
This paper proposes a finger-knuckle-print based authentication system by fusing multiple
texture features. It contains new algorithms for extracting region of interest (ROI) with the …
texture features. It contains new algorithms for extracting region of interest (ROI) with the …
Jointly learning multi-instance hand-based biometric descriptor
Multibiometric recognition has become one of the most important solutions for enhancing
overall personal recognition performance due to several inherent limitations of unimodal …
overall personal recognition performance due to several inherent limitations of unimodal …
Multimodal biometrics recognition based on local fusion visual features and variational Bayesian extreme learning machine
Y Chen, J Yang, C Wang, N Liu - Expert Systems with Applications, 2016 - Elsevier
Multimodal biometrics provides rich information in biometric recognition systems, thus a
valid multimodal feature fusion framework and an efficient recognition algorithm are …
valid multimodal feature fusion framework and an efficient recognition algorithm are …
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 …
Palmprint recognition using robust template matching
Palmprint recognition system is extensively deployed in a variety of applications, ranging
from forensic to mobile phones. This paper proposed a non-invertible palmprint template …
from forensic to mobile phones. This paper proposed a non-invertible palmprint template …
Multiple feature fusion for unconstrained palm print authentication
Over the last decade, palm print recognition has emerged as the strongest technology for
human authentication in many aspects. To carry out an effective recognition, this paper …
human authentication in many aspects. To carry out an effective recognition, this paper …