This paper describes a method to address is- sues regarding uncontrolled conditions in face recognition. This method using mask projection, extracts affecting factor from the test sample and adds it to all normal training samples then compares test sample with all synthetic affected training samples. The method has been applied for multi-factor authentication/verification based on face biometric. Obtained results indicate high accuracy in the lake of sufficient training samples for each class(single sample classes). of the claimed user.