  This paper suggests an effective method for facial recognition using fuzzy
theory and Shannon entropy. Combination of fuzzy theory and Shannon entropy
eliminates the complication of other methods. Shannon entropy calculates the
ratio of an element between faces, and fuzzy theory calculates the member ship
of the entropy with 1. More details will be mentioned in Section 3. The
learning performance is better than others as it is very simple, and only need
two data per learning. By using factors that don't usually change during the
life, the method will have a high accuracy.
