Palm Vein Biometric System Using Siamese Neural Network

Palm vein authentication is a highly accurate and secure biometric technology that captures unique vein patterns beneath the palm skin, providing robust authentication. Traditional methods like fingerprint and iris recognition face accuracy and spoofing limitations. Siamese neural networks, designed for pattern recognition, offer promising advancements in biometrics, especially for palm vein authentication. These networks feature two subnetworks extracting and comparing input data to generate a similarity score, enabling precise identification. Siamese networks excel in handling variations in palm position and size, crucial for real-world scenarios. Their adaptability to changing vein patterns over time ensures long-term authentication reliability. Additionally, their low computational requirements make them suitable for mobile integration, facilitating on-the-go authentication. Continuous research and improvements position Siamese neural network-based palm vein authentication as a leading biometric technology, promising unparalleled reliability and security in personal identification. The proposed system provides an accuracy of 98% with EER of 0.25 with PUT Vein dataset.