On matching finger-selfies using deep scattering networks
With the advancements in technology, smartphones' capabilities have increased immensely.
For instance, the smartphone cameras are being used for face and ocular biometric-based …
For instance, the smartphone cameras are being used for face and ocular biometric-based …
Multi-Surface Multi-Technique (MUST) Latent Fingerprint Database
Latent fingerprint recognition involves acquisition and comparison of latent fingerprints with
an exemplar gallery of fingerprints. The diversity in the type of surface leads to different …
an exemplar gallery of fingerprints. The diversity in the type of surface leads to different …
Dropped scheduled task: Mitigating negative transfer in multi-task learning using dynamic task dropping
In Multi-Task Learning (MTL), K distinct tasks are jointly optimized. With the varying nature
and complexities of tasks, few tasks might dominate learning. For other tasks, their …
and complexities of tasks, few tasks might dominate learning. For other tasks, their …
End to end fingerprint verification based on convolutional neural network
Fingerprint recognition has become one of the most reliable ways for human identification
due to its uniqueness and consistency. The fingerprint matching problem is formulated as a …
due to its uniqueness and consistency. The fingerprint matching problem is formulated as a …
Unconstrained fingerphoto database
Biometrics based user authentication for mobile devices is now popular with face and
fingerprints being the primary modalities. Fingerphoto, an image of a person's finger …
fingerprints being the primary modalities. Fingerphoto, an image of a person's finger …
Understanding ACE-V latent fingerprint examination process via eye-gaze analysis
The latent fingerprint examiners often mark minutiae and perform a comparison of latent
fingerprints with exemplar fingerprints of known identity. The interpretation of details in the …
fingerprints with exemplar fingerprints of known identity. The interpretation of details in the …
Machine Learning System for Recognition and Classification of Overlapped Fingerprints
N Sowmya, IA Babu - 2022 Smart Technologies …, 2022 - ieeexplore.ieee.org
Latent fingerprints were found frequently in criminal investigations. Thus, Overlapped
Fingerprint Recognition (OFR) technology plays key role in many applications. The OFR …
Fingerprint Recognition (OFR) technology plays key role in many applications. The OFR …
MMFV: A Multi-Movement Finger-Video Database for Contactless Fingerprint Recognition
Biometric authentication during the COVID-19 and post-pandemic times require a touchless
authentication mechanism. While existing studies showcase the use of fingerphoto for …
authentication mechanism. While existing studies showcase the use of fingerphoto for …
User authentication via finger-selfies
In the last one decade, the usage and capabilities of smartphones have increased multifold.
To keep data and devices secure, fingerprint and face recognition-based unlocking are …
To keep data and devices secure, fingerprint and face recognition-based unlocking are …