Results 41 to 50 of about 161,243 (325)
Review of iris segmentation and recognition using deep learning to improve biometric application
Journal of Intelligent Systems, 2023 Biometric recognition is essential for identifying people in security, surveillance, and mobile device authentication. Iris recognition (IR) biometrics is exact because it uses unique iris patterns to identify individuals.
Rasheed Hind Hameed +3 more
doaj +1 more source
Data-Driven Segmentation of Post-mortem Iris Images
, 2018 This paper presents a method for segmenting iris images obtained from the deceased subjects, by training a deep convolutional neural network (DCNN) designed for the purpose of semantic segmentation. Post-mortem iris recognition has recently emerged as an
Czajka, Adam, Trokielewicz, Mateusz
core +1 more source
A study on iris textural correlation using steering kernels [PDF]
, 2016 Research on iris recognition have observed that iris texture has inherent radial correlation. However, currently, there lacks a deeper insight into iris textural correlation.
Howells, Gareth +2 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background This study investigated how neighborhood‐level social determinants of health (SDOH), including redlining and neurological risk, interact to influence cognitive outcomes in children treated for brain tumors (CTBT). Methods A retrospective chart review of 161 CTBT aged 5–17 was conducted.
Alannah R. Srsich +5 more
wiley +1 more source
Scale Invariant Gabor Descriptor-Based Noncooperative Iris Recognition
EURASIP Journal on Advances in Signal Processing, 2010 A new noncooperative iris recognition method is proposed. In this method, the iris features are extracted using a Gabor descriptor. The feature extraction and comparison are scale, deformation, rotation, and contrast-invariant.
Du Yingzi, Belcher Craig, Zhou Zhi
doaj +2 more sources
Constrained Design of Deep Iris Networks
, 2019 Despite the promise of recent deep neural networks in the iris recognition setting, there are vital properties of the classic IrisCode which are almost unable to be achieved with current deep iris networks: the compactness of model and the small number ...
Fookes, Clinton +2 more
core +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Advanced Engineering Materials, EarlyView.Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
A Review of Iris Recognition Algorithms
JOIV: International Journal on Informatics Visualization, 2017 With the prominent needs for security and reliable mode of identification in biometric system. Iris recognition has become reliable method for personal identification nowadays.
Abdulrahman Aminu Ghali +4 more
doaj +1 more source
CNN‐based off‐angle iris segmentation and recognition
IET Biometrics, 2021 Accurate segmentation and parameterisation of the iris in eye images still remain a significant challenge for achieving robust iris recognition, especially in off‐angle images captured in less constrained environments. While deep learning techniques (i.e.
Ehsaneddin Jalilian +2 more
doaj +1 more source
Dispensing Volumetric Additive Manufacturing
Advanced Functional Materials, EarlyView.Dispensing volumetric additive manufacturing (DVAM) prints 3D structures inside a photocurable resin droplet suspended from the tip of a glass pipette, enabling sequential printing without resin vats or manual part removal. Real‐time droplet profiling and ray‐tracing‐based correction compensate for optical distortion at the curved resin‐air interface ...
Hongryung Jeon +5 more
wiley +1 more source