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@article{EV_2009_palms,

title = {Gaussianization of image patches for efficient palmprint recognition},

author = {Vitomir Štruc and Nikola Pavešić},

url = {https://lmi.fe.uni-lj.si/en/gaussianizationofimagepatchesforefficientpalmprintrecognition/},

year  = {2009},

date = {2009-01-01},

urldate = {2009-01-01},

journal = {Electrotechnical Review},

volume = {76},

number = {5},

pages = {245-250},

abstract = {In this paper we present a comparison of the two dominant image preprocessing techniques for palmprint recognition, namely, histogram equalization and mean-variance normalization. We show that both techniques pursue a similar goal and that the difference in recognition efficiency stems from the fact that not all assumptions underlying the mean-variance normalization approach are always met. We present an alternative justification of why histogram equalization ensures enhanced verification performance, and, based on the findings, propose two novel preprocessing techniques: gaussianization of the palmprint images and gaussianization of image patches. We present comparative results obtained on the PolyU database and show that the patch-based normalization technique ensures stat-of-the-art recognition results with a simple feature extraction method and the nearest neighbor classifier.},

keywords = {biometrics, gaussianization, histogram remapping, palmprint recognition, palmprints, preprocessing},

pubstate = {published},

tppubtype = {article}

}