Fisher criterion is a discriminant criterion function that was first presented by Fisher in 1936. It is defined by the ratio of the between-class scatter to the within-class scatter. By maximizing this criterion, one can obtain an optimal discriminant projection axis. After the sample being projected on to this projection axis, the within-class scatter is minimized and the between-class scatter is maximized.
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(2009). Fisher Criterion. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_585
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DOI: https://doi.org/10.1007/978-0-387-73003-5_585
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