Iris Segmentation
14 papers with code • 3 benchmarks • 2 datasets
Latest papers with no code
Normalized Validity Scores for DNNs in Regression based Eye Feature Extraction
We propose a normalization in the loss formulation, which improves the accuracy of the entire approach due to the numerical balance of the normalized inaccuracy.
Iris-SAM: Iris Segmentation Using a Foundational Model
Iris segmentation is a critical component of an iris biometric system and it involves extracting the annular iris region from an ocular image.
Experimental analysis regarding the influence of iris segmentation on the recognition rate
In this study the authors will look at the detection and segmentation of the iris and its influence on the overall performance of the iris-biometric tool chain.
Segmentation-free Direct Iris Localization Networks
Experimental results show that the combination of ILN and PRN works in 34. 5 ms for one iris image on a CPU, and its localization performance outperforms conventional iris segmentation methods.
A fast and accurate iris segmentation method using an LoG filter and its zero-crossings
In the proposed method, an LoG filter with region growing is used to detect the pupil region.
Direct attacks using fake images in iris verification
In this contribution, the vulnerabilities of iris-based recognition systems to direct attacks are studied.
Toward Accurate and Reliable Iris Segmentation Using Uncertainty Learning
To make further efforts on accurate and reliable iris segmentation, we propose a bilateral self-attention module and design Bilateral Transformer (BiTrans) with hierarchical architecture by exploring spatial and visual relationships.
Micro Stripes Analyses for Iris Presentation Attack Detection
In this paper, we propose a lightweight framework to detect iris presentation attacks by extracting multiple micro-stripes of expanded normalized iris textures.
An approach to human iris recognition using quantitative analysis of image features and machine learning
The Iris pattern is a unique biological feature for each individual, making it a valuable and powerful tool for human identification.
Iris segmentation techniques to recognize the behavior of a vigilant driver
In this paper, we clarify how to recognize different levels of vigilance for vehicle drivers.