期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：6
页码：9-14
DOI：10.14257/ijsip.2015.8.6.02
出版社：SERSC
摘要：In this paper we have achieved a comparison between the performances of different types of distances used in the k nearest neighbors classifier for recognition of isolated handwritten Arabic numerals extracted from Mnist database, more precisely these distances are those of Euclid, of Manhathan, of Minkowski, and of Tchebychev, to do this, we have used for pre-processing the image numerals the median filter, the thresholding, the centering and the skeletonization techniques and in order to extract the features from numerals we have employed the zoning method. The simulation results that we obtained demonstrates that all these distances are generally almost equivalents.
