A systematic review on physiological-based biometric recognition systems: current and future trends
Biometric deals with the verification and identification of a person based on behavioural and
physiological traits. This article presents recent advances in physiological-based biometric …
physiological traits. This article presents recent advances in physiological-based biometric …
Computational intelligence in eye disease diagnosis: a comparative study
SVM Kumar, R Gunasundari - Medical & Biological Engineering & …, 2023 - Springer
In recent years, eye disorders are an important health issue among older people. Generally,
individuals with eye diseases are unaware of the gradual growth of symptoms. Therefore …
individuals with eye diseases are unaware of the gradual growth of symptoms. Therefore …
Automated cataract disease detection on anterior segment eye images using adaptive thresholding and fine tuned inception-v3 model
Early detection of cataracts plays a vital role in ensuring the prevention of vision loss. This
paper aims to propose an algorithm that will act as an assistive measure in the process of …
paper aims to propose an algorithm that will act as an assistive measure in the process of …
Deep learning based torsional nystagmus detection for dizziness and vertigo diagnosis
Dizziness and vertigo are common clinical symptoms and typical complaints of many
vestibular diseases. In the bedside examination of dizziness and vertigo, nystagmus is the …
vestibular diseases. In the bedside examination of dizziness and vertigo, nystagmus is the …
IrisSeg-drunk: enhanced iris segmentation and classification of drunk individuals using Modified Circle Hough Transform
PG Jayadev, S Bellary - Iran Journal of Computer Science, 2024 - Springer
The field of biometrics has become increasingly intriguing due to the significant amount of
research being conducted on Iris Recognition (IR) in recent years. It has been observed that …
research being conducted on Iris Recognition (IR) in recent years. It has been observed that …
An iris quality evaluation method with pre-recognition screening function
S Liu, Y Liu, X Zhu, Z Liu - Multimedia Tools and Applications, 2022 - Springer
An iris image quality evaluation method for iris multi-category recognition scenes is
designed in this article. The problem that the poor applicability of uniformly quality indexes …
designed in this article. The problem that the poor applicability of uniformly quality indexes …
On the limitation of pathological iris recognition: neural network perspectives
Over the last few years, biometrics has emerged as an increasingly reliable solution to
recognize people using their physiological or behavioural characteristics. Despite their …
recognize people using their physiological or behavioural characteristics. Despite their …
Effectiveness of specularity removal from hyperspectral images in the colour spectral measurement of wool fibres
K Qiu, J Shen, W Chen, J Zhang - IET Image Processing, 2023 - Wiley Online Library
Microscopic hyperspectral imaging technology is a potential non‐destructive and non‐
contact method for colour measurement of micrometre‐sized textile fibres. However …
contact method for colour measurement of micrometre‐sized textile fibres. However …
Biometric authentication system for industrial applications using iris recognition
A Jardine, TD Ramotsoela… - 2021 IEEE 30th …, 2021 - ieeexplore.ieee.org
The COVID-19 pandemic has highlighted the limitations of the most popular biometric
authentication systems. It is thus necessary to develop other biometric technologies to …
authentication systems. It is thus necessary to develop other biometric technologies to …
A method for calculating the difference between two iris codes
The comparison of two iris codes has been proposed in this paper. The main task are to
calculate the difference between two iris codes after implementing a large number of …
calculate the difference between two iris codes after implementing a large number of …