Personal Authentication System Based on Iris Recognition and Digital Signature Technology

Authentication based on biometrics is being used to prevent physical access high-security institutions. Recently, due the rapid rise of information system technologies, now in applications databases and commercial workflow systems. These need implement measures counter security threats. Many developers are exploring developing novel authentication techniques these attacks. However, most challenging problem how keep biometric data while maintaining functional performance identity verification This paper presents a biometrics-based personal which smart card, Public Key Infrastructure (PKI), iris technologies combined. Raspberry Pi 4 Model B+ as core hardware components with an IR Camera. Following that idea, we designed optimal image processing algorithm OpenCV, Python, Keras, sci-kit learn libraries for feature extraction recognition chosen application development this project. After training, implemented gives accuracy (97% 100%) left right (NTU) datasets. Later, person performed verify claimed examine authentication. For NTU dataset, time key generation, Signature, Verification 5.17sec,0.288, 0.056, respectively. work offers realistic architecture identity-based cryptography using Rivest–Shamir–Adleman (RSA) algorithm.