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Access Request — HUTECH-CNPV1549 Palm Vein Dataset
This dataset contains near-infrared (NIR) palm vein images collected at Ho Chi Minh City University of Technology (HUTECH), Vietnam. Access is restricted to non-commercial academic research only.
By submitting this form, you confirm that:
1. The dataset will be used solely for non-commercial academic research.
2. You will not redistribute or share the dataset with third parties.
3. Any publication using this dataset must cite the original paper.
4. You will delete the dataset upon completion of your research project.
Fill in all fields completely — incomplete requests will be declined.
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HUTECH-CNPV1549 Palm Vein Dataset
A contactless near-infrared (NIR) palm vein dataset collected at Ho Chi Minh City University of Technology (HUTECH), Vietnam.
Dataset Summary
| Property | Value |
|---|---|
| Subjects | 1,549 |
| Images per subject | 10 |
| Total images | 15,490 |
| Modality | Near-infrared (NIR) palm vein |
| Capture type | Contactless |
| Collection site | HUTECH University, Ho Chi Minh City, Vietnam |
Versions
| Version | Path | Resolution | Description |
|---|---|---|---|
| ROI | HUTECH_CNPV1549_ROI/ |
128 × 128 px | Perspective-warped palm ROI, grayscale BMP |
| Full | HUTECH_CNPV1549_FULL/ |
640 × 480 px | Full-frame NIR image, grayscale BMP |
Data Structure
HUTECH_CNPV1549_ROI/ # or HUTECH_CNPV1549_FULL/
├── identity_0001/
│ ├── img_01.bmp
│ ├── img_02.bmp
│ └── ... (10 images)
├── identity_0002/
│ └── ...
└── identity_1549/
└── ...
Identity labels run from identity_0001 to identity_1549.
Official Train / Test Split
The file split_openset.json defines the open-set identity-disjoint split used in the benchmark:
- Train: 1,084 identities
- Test: 462 identities (no overlap with train)
Protocol: open-set verification — test identities are unseen during training.
Benchmark Results (SCA-MobileNet)
Evaluated under open-set identity-disjoint protocol (70 / 30 split at the identity level).
| Protocol | EER (%) ↓ | TAR @ 0.01% FAR ↑ | TAR @ 0.1% FAR ↑ | AUC ↑ |
|---|---|---|---|---|
| In-domain | 0.89 | 96.93% | 98.49% | 0.9983 |
| Cross-domain → TONGJI | 1.50 | 71.84% | 94.46% | 0.9981 |
| Cross-domain → VERA | 3.60 | 89.25% | 90.53% | 0.9887 |
Access
This dataset requires manual approval. Submit a request using the form above.
Requests with a clear institutional affiliation and research purpose are typically processed within 3–5 business days.
Citation
If you use this dataset, please cite:
@article{scamobilenet2026,
author = {Bui, Danh Huong and Hoang, Van Quy and Nguyen, Quoc Vuong and Huynh, Minh Quan},
title = {{SCA-MobileNet}: A Lightweight Architecture for Contactless Palm Vein Verification},
year = {2026}
}
License
CC BY-NC 4.0 — Free for non-commercial academic research only.
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