This paper focus on the effects of a high strength and high efficiency near infrared light source on the identification of corn hybrids under different light source voltage and different distances from the light source to the spectrograph based on the near infrared transmission(NIT) spectroscopy (wavelength range 908.1~1 677.2 nm) with the Nonghua 101 corn seeds harvested from Hainan province in 2009 as the research object. After the first order derivative and vector normalization of the spectra, the spectral characteristics are extracted using principal component analysis (PCA) and orthogonal linear discriminant analysis (OLDA) before the establishment of the model using support vector machine (SVM). Then the recognition rate under different experimental conditions is caculated. The results show that the lower voltage source or a larger distance from the spectrometer to the light source causes lower light intensity resulting to the spectrum curve with more burrs and the lower recognition rate. By increasing the voltage or decrease the distance from the light source to the spectrometer, the spectral curve becomes relatively smooth, and the recognition rate is significantly increased, indicating that the rate of correct identification of the model can be enhanced by increasing the light intensity within a certain range.