The Fisher discriminant analysis method has been improved by using a new approach. Instead of using a critical value as a criterion, this new method uses a normal distribution function based on different projection values to classify samples. This multivariate discriminant method has been shown to outperform the traditional Fisher discriminant method in experiments.