Please use this identifier to cite or link to this item: http://dspace2020.uniten.edu.my:8080/handle/123456789/8755
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dc.contributor.authorSuliman, A.
dc.contributor.authorShakil, A.
dc.contributor.authorSulaiman, Md.N.
dc.contributor.authorOthman, M.
dc.contributor.authorWirza, R.
dc.date.accessioned2018-02-21T04:24:40Z-
dc.date.available2018-02-21T04:24:40Z-
dc.date.issued2008
dc.identifier.urihttp://dspace.uniten.edu.my/jspui/handle/123456789/8755-
dc.description.abstractThis paper presents a hybrid approach of HMM and Fuzzy Logic in the field of handwritten character recognition. Fuzzy Logic is used in the recognition phase while HMM is used in the process of extracting features for the preparation of linguistic variables of the fuzzy rules. Experimental results from a few sample images give a reasonable recognition rate on a more challenging database of lower-case handwritten characters. This proved the proposed hybrid of the two techniques are compatible and can be used to complement each other effectively. © 2008 IEEE.
dc.titleHybrid of HMM and Fuzzy Logic for handwritten character recognition
item.fulltextNo Fulltext-
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