NDLI: A fuzzy expert system for recognition of handwritten arabic sub-words

Content Provider	IEEE Xplore Digital Library
Author	Khedher, M.Z. Al-Talib, G.
Copyright Year	2007
Description	Author affiliation: Jordan Univ., Amman (Khedher, M.Z.)
Abstract	A fuzzy expert system for selected Arabic sub-words recognition is presented in this paper. For each sub-word pattern, membership values are determined for a number of fuzzy sets defined on the features extracted from the pattern. These sub-words consist of two characters and are written cursively, so, the first step is to segment the sub-words into two objects, main and secondary objects, keeping the two characters connected and making use of the general and special features in the recognition process. Presence or absence of dots in a sub-word and the number of such dots are fuzzy features, since the dot(s) may not appear exactly above or below the related character and they may appear mixed together. Closed loop is a fuzzy feature also. The proposed expert system consists of two main parts. First, the preprocessing part includes the feature extraction step that provides sufficient information to the inference engine. Second, the inference engine which applies the suitable set of fuzzy rules and aggregates them towards the final decision.
Starting Page	1
Ending Page	4
File Size	285531
Page Count	4
File Format	PDF
ISBN	9781424407781
DOI	10.1109/ISSPA.2007.4555355
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-12
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hybrid intelligent systems Handwriting recognition Character recognition Fuzzy logic Expert systems Optical character recognition software Fuzzy sets Feature extraction Engines Fuzzy systems handwritten ocr Arabic ocr fuzzy logic fuzzy expert system
Content Type	Text
Resource Type	Article

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