Decade progress of palmprint recognition: A brief survey
As an advanced research topic in biometrics techniques, palmprint recognition has been
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
fully studied for more than 20 years. Due to its superiority to other biological features, ie high …
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 …
[HTML][HTML] IrisDenseNet: Robust iris segmentation using densely connected fully convolutional networks in the images by visible light and near-infrared light camera …
The recent advancements in computer vision have opened new horizons for deploying
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …
biometric recognition algorithms in mobile and handheld devices. Similarly, iris recognition …
Phase congruency induced local features for finger-knuckle-print recognition
Researchers have recently found that the finger-knuckle-print (FKP), which refers to the
inherent skin patterns of the outer surface around the phalangeal joint of one's finger, has …
inherent skin patterns of the outer surface around the phalangeal joint of one's finger, has …
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 …
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 …
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 …
[HTML][HTML] An efficient and accurate iris recognition algorithm based on a novel condensed 2-ch deep convolutional neural network
Recently, deep learning approaches, especially convolutional neural networks (CNNs),
have attracted extensive attention in iris recognition. Though CNN-based approaches …
have attracted extensive attention in iris recognition. Though CNN-based approaches …
Integration of multiple orientation and texture information for finger-knuckle-print verification
Abstract The Competitive Coding (CompCode) scheme, which extracts and codes the local
dominant orientation as features, has been widely used in finger knuckle print (FKP) …
dominant orientation as features, has been widely used in finger knuckle print (FKP) …
Designing an accurate hand biometric based authentication system fusing finger knuckleprint and palmprint
A Nigam, P Gupta - Neurocomputing, 2015 - Elsevier
This paper proposes an accurate and efficient multi-modal authentication system that makes
use of palm and knuckleprint samples. Biometric images are transformed using the …
use of palm and knuckleprint samples. Biometric images are transformed using the …