Human Identification Using Finger Print and Face Biometrics
The objective is to compared at feature extraction level for face and fingerprint biometrics. The proposed approach is based on a compared to identify the human through, finger prints in automated manner and providing an efficient solution for very low resolution face recognition problem. It is performed by compared the biometric template extracted from every pair of fingerprints and face representing a user. The fingerprint and face images of different people may have different sizes, a fusion operation must be performed after ROIs extraction. Feature Extraction Level, information extracted from the different users is encoded into a joint feature vector, which is then compared to a casio data base template and assigned a matching score as in a Multibiometric system.