Spectral knowledge acquired through the understanding of mineral spectral features was used to perform automatic extraction of mineral type information based on mathematical, logic and some other decision rules in the hyperspectral imaging field. In this paper, a mineral auto-identification module for hyperspectral imaging data (MAIM-HID) has been designed by IDL language on ENVI software. It has intelligence and batch processing capacity so that it can identify and extract as many as over 10 types of minerals or mineral groups directly. This module is applicable to aero Hymap and AVIRIS data as well as satellite Hyperion data. It already identified and discriminated some minerals in East Tianshan Mountain of Xinjiang and Qulong area of Tibet in China and Cuprite in U.S.A.