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The observing material used for this task is prism spectral plates taken with Schmidt-class telescopes. Such a plate generally contains thousands of spectra, and there are prism-plate libraries and digitized databases in several astronomical centers that can be exploited for this analysis. After a successive detection from the prism plate image, the spectra are automaticaly extracted in one- dimensional streams containing all the basic information. These spectra require automated classication methods to be analyzed in an objective form. In this article we com- pare two classication methods directly applied to stel- lar spectra: a linear correlation and a minimum distance method.

Automatic extraction and classification of low-dispersion objective prism stellar spectra