FACE COGNITION METHOD AT A MULTI-FACTORS ENVIRONMENT

摘要

The present invention is a combination of a secondary thing, Eigen face model for face recognition method under multi-variable environment using the experimental data using a minimum through the robust design has its object is to provide a face recognition method under the multi-variable environment to realize a high degree of recognition by naedorok obtained easily and quickly the optimum combination of variables, multivariate . ; The present invention is to apply a robust design (Robust Design) design using the face recognition on the second combination of the eigen face model, (A) the process of determining the function and object; (B) the steps of: determining a noise factor; (C) determining a determined level and the signal level control factor and factor; (D) the steps of the experimental design matrix through the levels of the factor levels and define the respective analysis data; (E) a number of experiments conducted according to the test matrix, made of a process of determining the optimum level of each factor rebyeol by an orthogonal array with multiple variables through the reader design insensitive to error factors using the signal-to-noise ratio level by calculating the fast optimal combination of the variable combinations is characterized in that to achieve a high recognition rate. ; When applying the invention, applying a robust design (Robust Design) design in the face recognizer by by quickly calculating the minimum combination of variables allows the recognition insensitive to error factors occurring in face recognition and its advantages as to enable the multiple variables under a high level of facial recognition through them.