Computer Vision• Case Study
Palm Vein Biometric Authentication System
Metric & Key Achievement
99% accuracy, 0.0053 EER
Tech Stack:PythonGabor FilterVGG19Deep Learning
Case Study & Project Details
A biometric authentication system that extracts palm vein patterns using a combination of Gabor Filters for advanced feature extraction and the VGG19 deep learning architecture for classification. The system achieved 99% classification accuracy with a very low Equal Error Rate (EER) of 0.0053, demonstrating high reliability for biometric security use cases.