NDLI: On fast recognition of isolated characters by constructing character signature database

Content Provider	IEEE Xplore Digital Library
Author	Azam, S.M. Mansoor, Z.A. Sharif, M.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., NWFP (Azam, S.M.; Mansoor, Z.A.; Sharif, M.)
Abstract	Using image signature in the pattern recognition and classification applications is very popular among the researchers because this approach provides very fast yet accurate result in most of the problems. This paper presents a fast multistage algorithm for the recognition of printed isolated character set of any script especially for non-Latin like Arabic and Urdu scripts. The proposed method is an improvement over the previously proposed approach that uses size normalized binary images of isolated characters and extracts their signature based on the number of black pixels and then it is used for the recognition of that character set. Same approach for signature extraction is used with the addition of signature scaling factor and some other modifications. Confusion matrices for Urdu, Arabic and English language character sets are built using standard template matching, previous approach and improved technique and it is observed that on average more than 10% decrease in matching between any pair of characters of same set is achieved which ensures greater probability of correct recognition results even in the presence of noisy patterns. Algorithms have been developed to make the computational comparison between the two approaches. Although initially the algorithm is implemented for three different character sets Urdu, Arabic and English - but it is discussed in the implementation that by just providing the character set, the proposed technique can be applied to any of the Latin or non-Latin script
Starting Page	568
Ending Page	575
File Size	201941
Page Count	8
File Format	PDF
ISBN	1424405025
DOI	10.1109/ICET.2006.336015
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-11-13
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Image databases Isolation technology Feature extraction Pattern recognition Character recognition Optical character recognition software Data mining Pixel Pattern matching
Content Type	Text
Resource Type	Article

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