Abstract: Hyperspectral image in spectral curve are often used in the field of mineral recognition. However, error recognition may occur because of the polymorphism and isomorphism existing in minerals. The position of absorption peaks play a very important role for the description of spectrum curve,which preferably reflects the single diagnostic feature of mineral. Therefore,Based on using the whole curve's feature, we proposed the preliminary technologies of weighted absorption peaks to enhancing the single diagnostic feature. Using the part of data from the standard spectral library PMS, we has accomplished some experiments based on the dissimilarity of mineral. Because the technology used whole mineral features and highlighted the important features, the description of mineral was more comprehensive and accurate. Meanwhile, the technology applied the continuum removes algorithms to reduce the effects of back noise. Compared with the regular technology, the proposed technology not only improved the accuracy of the mineral identification, but also increased the discrepancy between the different minerals, which will give a greater contribution to study the internal structure and the species of minerals.