Robust Facial Data Recognition Using Multimodal Fusion Features in Multi-Variant Face Acquisition
Biometric use physiological traits such as fingerprints face and behavioral traits such as voice, hand signatures characteristics to verify an individual's identity. The two process involved in biometrics are verification and identification. Verification process is performed by matching an individual's biometric with the template of claimed identity only. The identification process performed by matching an individual's biometric with template of every identity in the database. Existing work presented a multimodal (2D and 3D) face recognition algorithm by way of performing hybrid matching which was based on both feature and holistic metrics. The Pose of 3D face and its texture corrected using single automatically detected point and hotelling transform.