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Found 7 papers, 7 papers with code
Advancing 3D finger knuckle recognition via deep feature learning
However, this approach results in a large feature dimension, and the trained classification layer is required for comparing probe samples, which limits the introduction of new classes.
Flexible-Modal Face Anti-Spoofing: A Benchmark
Can we train a unified model, and flexibly deploy it under various modality scenarios?
Accurate 3D Finger Knuckle Recognition Using Auto-Generated Similarity Functions
This article advances the state-of-the-art method by introducing a new curvature based feature descriptor and a method to compute the similarity functions based on the statistical distribution of the encoded feature space.
Deep Feature Collaboration for Challenging 3D Finger Knuckle Identification
This paper attempts to address the above challenges and introduces a new deep neural network based approach for the contactless 3D finger knuckle identification.
Efficient and Accurate 3D Finger Knuckle Matching Using Surface Key Points
The current 3D finger knuckle recognition methods are limited by computationally complex or inefficient matching algorithms, which attempt to compute the matching scores from all possible translational and rotational parameters for matching a pair of templates.
Contactless Biometric Identification using 3D Finger Knuckle Patterns
Although our feature descriptor is designed for 3D finger knuckle patterns, it is also attractive for other hand-based biometric identifiers with similar patterns such as the palmprint and fingerprint.
Revisiting Outlier Rejection Approach for Non-Lambertian Photometric Stereo
This paper presents two novel outlier rejection techniques that attempt to identify the data that are more reliable and likely to be Lambertian.
