In order to realize the nondestructive discrimination of rice samples from different origins， a discrimination method based on synchronous two-dimensional correlation near infrared spectroscopy and Euclidean distance was proposed. After obtaining the standard two-dimensional correlation spectra of five types of rice samples respectively， the Euclidean distance between the test set samples and each standard correlation spectrum is calculated， and the discrimination is based on the minimum distance. The accuracy of this method can reach 95%. By defining the discrimination coefficient， the discrimination effect of various types of samples can also be judged more accurately. In order to compare the practical effects of two-dimensional correlation method and common modeling methods， partial least squares discriminant analysis and support vector machine classification are tried on the basis of the same data. The highest accuracy rates are 75% and 70% respectively， which verifies the effectiveness of two-dimensional correlation method. This study provides a possible method for nondestructive identification of rice samples， and can provide a reference for on-line detection.