NDLI: Optical character recognition using automatically generated Fuzzy classifiers

Content Provider	IEEE Xplore Digital Library
Author	Fonseca, J.M. Rodrigues, N.M. Mora, A.D. Ribeiro, R.A.
Copyright Year	2011
Description	Author affiliation: Departamento de Engenharia Electrotécnica, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Portugal (Fonseca, J.M.; Rodrigues, N.M.; Mora, A.D.; Ribeiro, R.A.)
Abstract	Character recognition using Fuzzy classifiers has been showing very promising results. However, the definition of the membership functions together with the design of the classification rules is a challenging task even considering just the 10 digits and 23 characters of the Roman alphabet. In this paper we present a solution for the semi-automatic design of a Fuzzy classifier for letters and digits to be applied on the automatic recognition of cars license plates on unstructured conditions. Based on a training set of fuzzified examples of measures, taken from digital images of single characters, the CART algorithm learns the rules that regulate the design of the different characters and generates fuzzy rules that implement the fuzzy classifiers in a completely automatic way. After, a fuzzy inference engine executes the rules to obtain the characters classification. To take advantage of syntactical correction, a hierarchical classifier with two layers of classifiers is proposed: one classifier distinguishes between letters or digits; the second layer classifies either the letters or the digits. The performance achieved by the two-layer classifier is shown and discussed.
Starting Page	448
Ending Page	452
File Size	200054
Page Count	5
File Format	PDF
ISBN	9781612841809
e-ISBN	9781612841816
DOI	10.1109/FSKD.2011.6019585
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic Training Optical Character Recognition Image processing Licenses Optical imaging Fuzzy Classifiers Classification algorithms Character recognition Optical character recognition software Fuzzy Logic
Content Type	Text
Resource Type	Article

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