Multi-factor authentication: A survey
Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …
enablers to maintain this process secure is authentication. It covers many different areas of a …
DS-CNN: A pre-trained Xception model based on depth-wise separable convolutional neural network for finger vein recognition
Finger vein recognition received special attention among all other biometric traits due to its
high security. Adequate recognition and classification accuracy ensure the security of …
high security. Adequate recognition and classification accuracy ensure the security of …
Mindid: Person identification from brain waves through attention-based recurrent neural network
Person identification technology recognizes individuals by exploiting their unique,
measurable physiological and behavioral characteristics. However, the state-of-the-art …
measurable physiological and behavioral characteristics. However, the state-of-the-art …
DeepKey: A multimodal biometric authentication system via deep decoding gaits and brainwaves
Biometric authentication involves various technologies to identify individuals by exploiting
their unique, measurable physiological and behavioral characteristics. However, traditional …
their unique, measurable physiological and behavioral characteristics. However, traditional …
A novelty approach to retina diagnosing using biometric techniques with SVM and clustering algorithms
M Szymkowski, E Saeed, M Omieljanowicz… - IEEE …, 2020 - ieeexplore.ieee.org
A method to extract the retina characteristic points for the purpose of medical diagnosis of
the human eye is presented in this research. The proposed method helps to make the …
the human eye is presented in this research. The proposed method helps to make the …
[PDF][PDF] A survey on applications of machine learning techniques for medical image segmentation
With development of science and technology in this digital era, the digital imaging is
increasing expeditiously in every field. This digital image processing converts the image into …
increasing expeditiously in every field. This digital image processing converts the image into …
An iris segmentation using harmony search algorithm and fast circle fitting with blob detection
K Malinowski, K Saeed - biocybernetics and biomedical engineering, 2022 - Elsevier
Pupil and iris segmentation based on ellipsis or circle recognition are sensitive to light
reflections and reflected images. The method presented here is independent of size and …
reflections and reflected images. The method presented here is independent of size and …
Detection of retinal abnormalities in fundus image using transfer learning networks
M Kaur, A Kamra - Soft Computing, 2023 - Springer
Diabetic retinopathy (DR) is one among the common disease associated with the human
eye that can cause blindness. Detection of DR is very important as the disease will damage …
eye that can cause blindness. Detection of DR is very important as the disease will damage …
[HTML][HTML] Circular shift combination local binary pattern (CSC-LBP) method for dorsal finger crease classification
Biometric technology has drawn increasing attention and significance importance in recent
years. In biometric security systems, personal identification and verification rely on their …
years. In biometric security systems, personal identification and verification rely on their …
Sclera-net: Accurate sclera segmentation in various sensor images based on residual encoder and decoder network
RA Naqvi, WK Loh - IEEE Access, 2019 - ieeexplore.ieee.org
Sclera segmentation is revealed to be of noteworthy importance for ocular biometrics. The
paramount step for biometric recognition methods is the segmentation of the area of interest …
paramount step for biometric recognition methods is the segmentation of the area of interest …