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20172020
most citedBrainSegNet : A Segmentation Network for Human Brain Fiber Tractography Data into Anatomically Meaningful Clusters

8 citations · 16 across the 7 of their papers we have counts for

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12 papers · 1 filter

cs.CV2020

IHashNet: Iris Hashing Network based on efficient multi-index hashing

Avantika Singh, Chirag Vashist, Pratyush Gaurav +2

Massive biometric deployments are pervasive in today's world. But despite the high accuracy of biometric systems, their computational efficiency degrades drastically with an increa…

cs.CV2020

UESegNet: Context Aware Unconstrained ROI Segmentation Networks for Ear Biometric

Aman Kamboj, Rajneesh Rani, Aditya Nigam +1

Biometric-based personal authentication systems have seen a strong demand mainly due to the increasing concern in various privacy and security applications. Although the use of eac…

cs.CV2019

PoshakNet: Framework for matching dresses from real-life photos using GAN and Siamese Network

Abhigyan Khaund, Daksh Thapar, Aditya Nigam

Online garment shopping has gained many customers in recent years. Describing a dress using keywords does not always yield the proper results, which in turn leads to dissatisfactio…

cs.CV2019

SP-NET: One Shot Fingerprint Singular-Point Detector

Geetika Arora, Ranjeet Ranjan Jha, Akash Agrawal +2

Singular points of a fingerprint image are special locations having high curvature properties. They can play a pivotal role in fingerprint normalization and reliable feature extrac…

cs.CV2019

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…

cs.CV20181 cited

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…