A projection function called minimal neighborhood mean projection function(MNMPF)is proposed． The projection function calculates and stores the minimal neighborhood mea1]of each pixel on each projection line， SO that it is able to trace the low grayscale features in image．Compared with traditional projection functions，i．e． integral projection function(IPF)and variance projection function(VPF)，MNMPF is insensitive to sheet noise，due to the local selectivity of its mimmum operation．During the computation of MNMPF,the image locations of minima are recorded at the same time．This makes MNMPF a 2D operator．All these properties of MNM PF are very suitable for eye location．It can bring precise and robust response to eyes，especially pupils．Experiments on CAS—PEAL and BioID databases show its excellent correct rate and precision over traditional projection functions．

最小邻域均值投影函数及其在眼睛定位中的应用.PDF

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