Results 31 to 40 of about 29,208 (270)
Quality-based iris segmentation-level fusion [PDF]
, 2016 Iris localisation and segmentation are challenging and critical tasks in iris biometric recognition. Especially in non-cooperative and less ideal environments, their impact on overall system performance has been identified as a major issue.
Ferryman, James +3 more
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Frontiers in Medicine, 2021 Purpose: To investigate the error rate of segmentation in the automatic measurement of anterior chamber volume (ACV) and iris volume (IV) by swept-source anterior segment optical coherence tomography (SS-ASOCT) in narrow-angle and wide-angle eyes.Methods:
Hailiu Chen +10 more
doaj +1 more source
Influence of segmentation on deep iris recognition performance
, 2020 Despite the rise of deep learning in numerous areas of computer vision and image processing, iris recognition has not benefited considerably from these trends so far.
Lozej, Juš +3 more
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An Improved Iris Segmentation Technique Using Circular Hough Transform [PDF]
, 2018 It is quite easy to spoof an automated iris recognition system using fake iris such as paper print and artificial lens. False Rejection Rate (FRR) and False Acceptance Rate (FAR) of a specific approach can be as a result of noise introduced in the ...
Ajulibe, Akachukwu +3 more
core +1 more source
Iris segmentation using a non-decimated wavelet transform [PDF]
, 2015 This paper presents an iris segmentation algorithm. The proposed technique applies a histogram based method on the input eye image extracting a point within the pupil.
Bagheri Zadeh, P +2 more
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IEEE Access, 2023 Iris segmentation is a significant phase in the iris recognition process because segmentation errors cascade into all subsequent phases. Therefore, it is important that errors in iris segmentation are minimised.
Jasem Rahman Malgheet +3 more
doaj +1 more source
Iris Recognition: The Consequences of Image Compression [PDF]
, 2010 Iris recognition for human identification is one of the most accurate biometrics, and its employment is expanding globally. The use of portable iris systems, particularly in law enforcement applications, is growing.
Belcher, Craig +3 more
core +3 more sources
Iris Segmentation Algorithm Based on Probabilistic Boosting Tree [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem that the traditional edge detection algorithm cannot automatically extract iris contour from the edge points,a edge detection algorithm based on supervised learning for iris segmentation is proposed in this paper.A set of features ...
ZHOU Kai,SU Juan
doaj +1 more source
A Ground Truth for Iris Segmentation
2014 22nd International Conference on Pattern Recognition, 2014 Classical iris biometric systems assume ideal environmental conditions and cooperative users for image acquisition. When conditions are less ideal or users are uncooperative or unaware of their biometrics being taken the image acquisition quality suffers.
Heinz Hofbauer +4 more
openaire +3 more sources
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