Results 11 to 20 of about 29,208 (270)
The quality of eye image data become degraded particularly when the image is taken in the non-cooperative acquisition environment such as under visible wavelength illumination.
Ahmad, Asraful Syifaa’ +6 more
core +4 more sources
Segmentation-level fusion for iris recognition [PDF]
This paper investigates the potential of fusion at normalisation/segmentation level prior to feature extraction. While there are several biometric fusion methods at data/feature level, score level and rank/decision level combining raw biometric signals,
Ferryman, James +3 more
core +3 more sources
Iris segmentation is a process to isolate the accurate iris region from the eye image for iris recognition. Iris segmentation on non-ideal and noisy iris images is accurate with active contour. Nevertheless, it is currently unclear on how active contour
Shahrizan Jamaludin +3 more
doaj +1 more source
RAG‐Net: ResNet‐50 attention gate network for accurate iris segmentation
Iris segmentation is an important step in the process of iris recognition. Iris images collected under non‐cooperative conditions always contain various noise, which is a challenge for iris segmentation.
Yinyin Wei +3 more
doaj +1 more source
Purpose: To develop and integrate interactive features with automatic methods for accurate liver cyst segmentation in patients with autosomal dominant polycystic kidney and liver disease (ADPKD).
Collin Li +5 more
doaj +1 more source
PFSegIris: Precise and Fast Segmentation Algorithm for Multi-Source Heterogeneous Iris
Current segmentation methods have limitations for multi-source heterogeneous iris segmentation since differences of acquisition devices and acquisition environment conditions lead to images of greatly varying quality from different iris datasets.
Lin Dong, Yuanning Liu, Xiaodong Zhu
doaj +1 more source
An Improved Bovine Iris Segmentation Method [PDF]
In order to improve the performance of bovine iris image segmentation, an improved iris image segmentation algorithm is proposed according to the characteristics of bovine iris image.
Luo Zhongliang +3 more
doaj +1 more source
Robust and Accurate Iris Segmentation Algorithm for Color and Noisy Eye Images
Efficient and robust segmentation of iris images captured in the uncontrolled environments is one of the challenges of non-cooperative iris recognition systems.
Przemysław Strzelczyk
doaj +1 more source
Review of iris segmentation and recognition using deep learning to improve biometric application
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
A unified approach for automated segmentation of pupil and iris in on-axis images
We propose a unified approach for the automatic and accurate segmentation of the pupil and iris from on-axis grayscale eye images. The segmentation of pupil and iris is achieved with Basis-spline-based active contour and circular active contour ...
Grissel Priyanka Mathias +3 more
doaj +1 more source

