Calibration transfer is an important issue to building up universal and comparable performance of spectrometer data in near infrared spectral analysis technology. Methods of slope/bias correction, direct standardization (DS), and target factor analysis (TFA) were used for the calibration transfer among five NIR filter spectrophotometers using maize as the samples. The effects of three calibration transfer methods were compared. The DS method has the best performance. The average calibration transfer difference of DS is 7.01%. This study also relates to the dependence of calibration transfer on the number of standardization samples. It was proven by experiment that the results of calibration transfer will be better as the number of samples is increased and will be generally stable when there are twenty standardization samples. However, the effect of calibration transfer attained by DS is degraded sharply when the number of standardization samples decreases to be below twenty. Moreover, slope/bias and TFA are not sensitive to the number of standardization samples.