1. An automatic biometric identification method based on face recognition and support vector machines, comprises: generating a user's reference template; and identifying the user based on the user's reference template; wherein generating the user's reference template comprises: acquiring a number of user's face images; and training a support vector machine based on the user's face images; the support vector machine being a one-class support vector machine trained based on user's face images only, wherein training the one-class support vector machine comprises: extracting a feature vector from each user's face image; and training the one-class support vector machine based on the extracted feature vectors, wherein extracting the feature vector from each user's face image comprises: computing a transform in the frequency domain of each user's face image to generate a respective spectrum; and forming the feature vector for each user's face image based on coefficients of frequencies of the respective spectrum which comprise coefficients of low frequencies of the respective spectrum.