52 citations · 101 across the 13 of their papers we have counts for
13 papers
Zero-Shot SAM2 Segmentation and Vision Transformer-Based Recognition of Elamite Cuneiform Symbols from Degraded Tablet Images
Utsav Poudel, Rasik Bhattarai, Siddhartha Pathak +2
Automated recognition of ancient cuneiform script poses a compound signal-degradation problem: the three-dimensional relief of clay tablets creates spatially varying illumination a…
CLRecogEye : Curriculum Learning towards exploiting convolution features for Dynamic Iris Recognition
Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam +1
Iris authentication algorithms have achieved impressive recognition performance, making them highly promising for real-world applications such as border control, citizen identifica…
Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial Curves
Abhishek Tandon, Geetanjali Sharma, Gaurav Jaswal +2
We propose a trait-specific image generation method that models forehead creases geometrically using B-spline and Bézier curves. This approach ensures the realistic generation of b…
Impact of Iris Pigmentation on Performance Bias in Visible Iris Verification Systems: A Comparative Study
Geetanjali Sharma, Abhishek Tandon, Gaurav Jaswal +2
Iris recognition technology plays a critical role in biometric identification systems, but their performance can be affected by variations in iris pigmentation. In this work, we in…
Synthetic Forehead-creases Biometric Generation for Reliable User Verification
Abhishek Tandon, Geetanjali Sharma, Gaurav Jaswal +2
Recent studies have emphasized the potential of forehead-crease patterns as an alternative for face, iris, and periocular recognition, presenting contactless and convenient solutio…
FH-SSTNet: Forehead Creases based User Verification using Spatio-Spatial Temporal Network
Geetanjali Sharma, Gaurav Jaswal, Aditya Nigam +1
Biometric authentication, which utilizes contactless features, such as forehead patterns, has become increasingly important for identity verification and access management. The pro…
Vulnerability of Face Morphing Attacks: A Case Study on Lookalike and Identical Twins
Raghavendra Ramachandra, Sushma Venkatesh, Gaurav Jaswal +1
Face morphing attacks have emerged as a potential threat, particularly in automatic border control scenarios. Morphing attacks permit more than one individual to use travel documen…
Towards the Generation of Synthetic Images of Palm Vein Patterns: A Review
Edwin H. Salazar-Jurado, Ruber Hernández-García, Karina Vilches-Ponce +3
With the recent success of computer vision and deep learning, remarkable progress has been achieved on automatic personal recognition using vein biometrics. However, collecting lar…
DFCANet: Dense Feature Calibration-Attention Guided Network for Cross Domain Iris Presentation Attack Detection
Gaurav Jaswal, Aman Verma, Sumantra Dutta Roy +1
An iris presentation attack detection (IPAD) is essential for securing personal identity is widely used iris recognition systems. However, the existing IPAD algorithms do not gener…
FKIMNet: A Finger Dorsal Image Matching Network Comparing Component (Major, Minor and Nail) Matching with Holistic (Finger Dorsal) Matching
Daksh Thapar, Gaurav Jaswal, Aditya Nigam
Current finger knuckle image recognition systems, often require users to place fingers' major or minor joints flatly towards the capturing sensor. To extend these systems for user…
FDSNet: Finger dorsal image spoof detection network using light field camera
Avantika Singh, Gaurav Jaswal, Aditya Nigam
At present spoofing attacks via which biometric system is potentially vulnerable against a fake biometric characteristic, introduces a great challenge to recognition performance. D…
PVSNet: Palm Vein Authentication Siamese Network Trained using Triplet Loss and Adaptive Hard Mining by Learning Enforced Domain Specific Features
Daksh Thapar, Gaurav Jaswal, Aditya Nigam +1
Designing an end-to-end deep learning network to match the biometric features with limited training samples is an extremely challenging task. To address this problem, we propose a…
FDFNet : A Secure Cancelable Deep Finger Dorsal Template Generation Network Secured via. Bio-Hashing
Avantika Singh, Ashish Arora, Shreya Hasmukh Patel +2
Present world has already been consistently exploring the fine edges of online and digital world by imposing multiple challenging problems/scenarios. Similar to physical world, per…