PERFORMANCE EVALUATION OF A SINGLE-MODE BIOMETRIC ACCESS CONTROL SYSTEM

The present work evaluates the performance of a fingerprint-based access control system to secure premises. In order to evaluate these performances, we used a regression model in which the dependent variable is of qualitative type, more precisely, the variable: "the new individual who takes the entrance test is positive or negative".Our model is therefore a classifier capable of diagnosing whether fingerprints will be accepted or not. This performance evaluation model is realized by means of the confusion matrix, the calculations of the evaluation parameters (Sensitivity, Specificity, Positive Predictive Value, Negative Predictive Value and False Negative), and finally the plots of the sensitivity values against 1-Specificity (ROC curve).On a sample of six hundred individuals of which 470 enrolled and 130 not enrolled, the access control system obtained the results of which 456 true positives, 14 false negatives, 10 false positives and 120 true negatives which constitute our confusion matrix, which we were able to evaluate the performance of our system by applying the calculations of the evaluation parameters.