Evaluation method for capability of sub-pattern in two-dimensional Fisher linear discriminant
二维Fisher线性判别中子模式性能的一种评价方法*

In order to overcome the problem that the traditional sub-pattern choosing method in the two-dimensional fisher linear discriminant(2DFLD) algorithm cost huge computation amount and was time-consuming, a method, based on the two main factors influencing the 2DFLD recognition effect, the discreet degree of samples in projection space and the similarity between sub-patterns, for evaluating the capability of sub-pattern was contrived. Firstly, designed the form of sub-pattern. Secondly, calculated the capabilities of all kinds of sub-patterns based on this evaluation method. Finally, obtained the preferable sub-pattern. Experiments are carried out in the ear database, ORL face database and iris database which show that this evaluation method can effectively choose the preferable sub-pattern, and shorten the calculation time to about 1/4 of the conventional choosing method. It is an effective evaluation method for capability of sub-pattern.