GitHub - holzweber/palmprint-recognition: Palmprint Recognition …
Palmprint Recognition with Neural Networks implemented with PyTorch. For training of the networks, I can recommend using Kaggle, as you have also a GPU Accelerator available there, if you are also running solely on CPU like I do.
Palmprint Recognition: Extensive Exploration of Databases
2023年12月23日 · Palmprint recognition constitutes a pivotal biometric technology deployed in the identification and verification of individuals, relying on the distinctive patterns inherent in their palmprints.
To understand this recognition concept, one must first understand the physiology of the ridges and valleys of a fingerprint or palm. When recorded, a fingerprint or palm print appears as a...
Mobile Contactless Palmprint Recognition: Use of ... - IEEE Xplore
Next, a mobile-based, end-to-end palmprint recognition system is developed, referred to as Palm-ID. On top of the ViT and CNN features, Palm-ID incorporates a palmprint enhancement module and efficient dimensionality reduction (for faster matching).
leosocy/EDCC-Palmprint-Recognition - GitHub
EDCC(Enhanced and Discriminative Competitive Code), which is used for palmprint-recognition. Use the EDCC algorithm with default config to validate on several published palmprint databases( multispectral , tongji ), the first N(N = 2, 4, 6, 8) palmprint images of each palm are employed as training samples and the remaining palmprint images form ...
[2401.08111] Mobile Contactless Palmprint Recognition: Use of ...
2024年1月16日 · On top of the ViT and CNN features, Palm-ID incorporates a palmprint enhancement module and efficient dimensionality reduction (for faster matching). Palm-ID balances the trade-off between accuracy and latency, requiring just 18ms to extract a template of size 516 bytes, which can be efficiently searched against a 10,000 palmprint gallery in 0 ...
Complete Region of Interest for Unconstrained Palmprint Recognition
In this paper, we propose to directly extract the complete palmprint region as the ROI (CROI) using the detection-style CenterNet without requiring the detection of any landmarks, and large intra-class diversities may occur.
Comprehensive Competition Mechanism in Palmprint Recognition
The competition-based method is the prevailing approach for hand-crafted palmprint recognition, thanks to its powerful discriminative ability to identify distinctive features. However, the competition mechanism possesses vast untapped advantages that have yet to be fully explored.
palmprint-recognition · GitHub Topics · GitHub
2024年2月19日 · Demonstration of FusionNet for touchless palmprint and finger texture recognition. Based on the source code for the 2019 IEEE CIVEMSA paper "Touchless palmprint and finger texture recognition: A Deep Learning fusion approach"
Triple-Type Feature Extraction for Palmprint Recognition - MDPI
2021年7月19日 · In this paper, we propose a heuristic palmprint recognition method by extracting triple types of palmprint features without requiring any training samples. We first extract the most important inherent features of a palmprint, including the texture, gradient and direction features, and encode them into triple-type feature codes.