Exploring bias in sclera segmentation models: A group evaluation approach
Bias and fairness of biometric algorithms have been key topics of research in recent years,
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …
mainly due to the societal, legal and ethical implications of potentially unfair decisions made …
Ssbc 2020: Sclera segmentation benchmarking competition in the mobile environment
The paper presents a summary of the 2020 Sclera Segmentation Benchmarking
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …
Competition (SSBC), the 7th in the series of group benchmarking efforts centred around the …
MetaScleraSeg: an effective meta-learning framework for generalized sclera segmentation
Sclera segmentation is a key component of sclera recognition, which decides the region-of-
interest (ROI) for recognition and has a considerable impact on the overall performance. In …
interest (ROI) for recognition and has a considerable impact on the overall performance. In …
Liveness test method and apparatus
B Yoo, XU Jingtao, C Zhang, H Feng, S Yanhu… - US Patent …, 2021 - Google Patents
A liveness test method and apparatus is disclosed. The liveness test method includes
detecting a face region in an input image for a test target, implementing a first liveness test to …
detecting a face region in an input image for a test target, implementing a first liveness test to …
[HTML][HTML] IPAD: Iterative pruning with activation deviation for sclera biometrics
The sclera has recently been gaining attention as a biometric modality due to its various
desirable characteristics. A key step in any type of ocular biometric recognition, including …
desirable characteristics. A key step in any type of ocular biometric recognition, including …
An efficient deep sclera recognition framework with novel sclera segmentation, vessel extraction and gaze detection
S Das, I De Ghosh, A Chattopadhyay - Signal Processing: Image …, 2021 - Elsevier
Sclera recognition is a promising ocular biometric modality because of contact-less, gaze-
independent image acquisition in visible light. Moreover, it is unaffected even if the subjects …
independent image acquisition in visible light. Moreover, it is unaffected even if the subjects …
Sclera-TransFuse: Fusing Swin Transformer and CNN for Accurate Sclera Segmentation
Sclera segmentation is a crucial step in sclera recognition, which has been greatly
advanced by Convolutional Neural Networks (CNNs). However, when dealing with non …
advanced by Convolutional Neural Networks (CNNs). However, when dealing with non …
A liveness detection system for sclera biometric applications
Liveness detection systems are essential to test whether a biometric sample is from a live
person. However, liveness detection for sclera biometric applications has not yet been …
person. However, liveness detection for sclera biometric applications has not yet been …
An efficient deep learning strategy: its application in sclera segmentation
S Das, I De Ghosh… - 2020 IEEE Applied Signal …, 2020 - ieeexplore.ieee.org
Neural networks require normalized inputs which are generally small floating point numbers.
Convolutional Neural Networks (CNNs) use filters that are applied to multiple layers of a …
Convolutional Neural Networks (CNNs) use filters that are applied to multiple layers of a …
BiOcularGAN: Bimodal synthesis and annotation of ocular images
Current state-of-the-art segmentation techniques for ocular images are critically dependent
on large-scale annotated datasets, which are labor-intensive to gather and often raise …
on large-scale annotated datasets, which are labor-intensive to gather and often raise …