Fuzzy Observable Markov Models for Pattern Recognition

    Research output: Contribution to journalArticlepeer-review


    This paper presents a mathematical framework for fuzzy discrete and continuous observable Markov models (OMMs) and their applications to written language, spam email and typist recognition. Experimental results show that the proposed OMMs are more effective than models such as vector quantization, Gaussian mixture model and hidden Markov model
    Original languageEnglish
    Pages (from-to)662-667
    Number of pages6
    JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
    Issue number6
    Publication statusPublished - 2007


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