Survey on Face and Fingerprint based Person Identification System
DOI: https://doi.org/10.46610/JOCSES.2022.v08i02.005
Keywords:
Convolutional Neural Network (CNN), Face recognition, Fingerprint pre-processing, Fingerprint recognition, Haar like features, Machine learningAbstract
Biometric technologies are commonly used to upgrade the system security by allowing people to be recognised. Multi-modal biometric system based on face and fingerprint biometric attributes are included in this survey report. A camera is used to capture the pictures of the faces in the system. The fingerprint obtained from the fingerprint dataset is cross-checked once the input face is recognised to authenticate the identification. The characteristics of the fingerprint and face are retrieved using haar transformation approach. Score level fusion with real-time datasets determines the final conclusion.