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:10
页码:241-256
DOI:10.14257/ijsip.2015.8.10.26
出版社:SERSC
摘要:In this paper, we present for printed multi-oriented, multi-scaled and noisy Greek characters recognition a comparison in terms of precision, rapidity and stability between several classifiers which the first one is a probabilistic that is hidden Markov model, the second is a neuronal that is Kohonen network or self-organizing maps while the rest of other classifiers are based on a combination between these both classifiers and even more a statistical method that is K nearest neighbors in their tree different versions which are majority voting, weighted distances and fuzzy. For this purpose we have for pre- processed each character image by the median filter and the thresholding technique, then in order to extract efficiently their features, we have exploited the Krawtchouk invariant moments
关键词:Printed multi-oriented; multi-scaled and noisy Greek characters; Median ; filter; Thresholding; Krawtchouk invariant moments; Hidden Markov model; Kohonen ; network; K nearest neighbors; Fuzzy logic