• K Vaishnavi Rao
• Dr. Jithendra P. R. Nayak
• Dr. Rajendra H J

A low-cost, open-source biometric acquisition system is presented for the simultaneous capture of finger vein and thermal palm vein patterns using a unified hardware platform. The system employs near-infrared imaging for finger vein extraction and thermal imaging for palm vein analysis to improve identification accuracy and resilience against spoofing attacks. An attention-based decision-level fusion algorithm integrates deep features from both modalities to enhance recognition performance. The hardware configuration is built from the commercially available components and 3D-printed parts, with comprehensive documentation, open-source software, and a multi-modal dataset provided for reproducible research. Experimental results indicate improved verification accuracy and robustness compared to unimodal biometric approaches, supporting the development of more secure and accessible biometric systems.

Finger vein recognition, thermal palm vein, biometric fusion, near-infrared imaging, thermal imaging, multi-modal biometrics, low-cost hardware, vascular pattern recognition, spoof detection, open-source biometric system.

"REVIEW ON MULTI-MODAL BIOMETRIC FUSION USING FINGER VEIN AND THERMAL PALM VEIN PATTERNS WITH A UNIFIED LOW-COST ACQUISITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.933-940, July-2025, Available :http://www.jetir.org/papers/JETIRGX06174.pdf

"REVIEW ON MULTI-MODAL BIOMETRIC FUSION USING FINGER VEIN AND THERMAL PALM VEIN PATTERNS WITH A UNIFIED LOW-COST ACQUISITION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp933-940, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06174.pdf