Identification method of 205 Huajiao samples from 8 different geographical origins by near infrared spectroscopy coupled with principal component analysis (PCA) and pattern recognition based on discriminant partial least squares (DPLS) was proposed in this paper. In the spectra region between 12 500～3 800 cm-1, predictive models with different pretreatments of calibration set were built separately, and robust models indicating these geographic origins of Huajiao samples could be achieved using DPLS pattern recognition method. The correct identification rates of the independent validation set were between 85.37%~97.56%, in which DPLS discriminant model with standard normal variate (SNV) or multiplicative scatter correction (MSC) preprocessing was best. The method was effective in Huajiao origin recognition.