The Eigenface Algorithm method in the face recognition or detection system that is included in the image processing domain is applied to the fintech application in the Sharia Financial Services Unit to prevent data forgery and data leakage. Facial recognition processing in the security system for the application of Islamic Financial Services Unit by using the eigenface method in opencv can be done by inputting user data through the registration stage then entering face data which is then carried out a training process so that face image data can be detected. Then the facial recognition process is carried out so that it can enter, then facial recognition processing using the eigenface method in opencv is said to be sensitive, because it depends on the intensity of light, distance, and face viewpoint. Recognition processing on the security system for Sharia Financial Services Unit applications can run well if the data is around 20 training data each person with an average percentage of success of 52% for the total of all the criteria tested, to improve the presentation of success can be done by matching with sufficient intensity of light intensity and face facing parallel to the cellphone camera.