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With an increase in the number of faces in the database, the statistical error increases: the more faces in the database, the more often similar faces will be recognized when searching in the archive. Accordingly, the degree of similarity when comparing the reference face with the captured face will decrease.

This statistical error is relevant if:

1. The Requirements for face detection tools 얼굴 검출 도구의 요구 사항 are met.
2. The database contains over a million faces.

An example of the error calculation results:

1. Face detection, mugshot dataset (good quality photo), 12 million faces in database, and false matching probability is 0.003%. With these initial data, the researchers obtained an identification error of 0.76%.
2. Face detection (VL), the initial data are the same. The identification error is 0.81%.