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Digit and command interpretation for electronic book using neural network and genetic algorithm.

H K Lam·Frank H F Leung
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Abstract

This paper presents the interpretation of digits and commands using a modified neural network and the genetic algorithm. The modified neural network exhibits a node-to-node relationship which enhances its learning and generalization abilities. A digit-and-command interpreter constructed by the modified neural networks is proposed to recognize handwritten digits and commands. A genetic algorithm is employed to train the parameters of the modified neural networks of the digit-and-command interpreter. The proposed digit-and-command interpreter is successfully realized in an electronic book. Simulation and experimental results will be presented to show the applicability and merits of the proposed approach.

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AlgorithmsArtificial IntelligenceBooksComputer GraphicsElectronic Data ProcessingHandwritingImage EnhancementImage Interpretation, Computer-AssistedInformation Storage and RetrievalModels, StatisticalNeural Networks, ComputerNumerical Analysis, Computer-AssistedPattern Recognition, AutomatedPublishingReadingReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedUser-Computer InterfaceWord ProcessingEvaluation StudyJournal ArticleResearch Support, Non-U.S. Gov't

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H K Lam, Frank H F Leung. 2004. Digit and command interpretation for electronic book using neural network and genetic algorithm.. https://doi.org/10.1109/tsmcb.2004.834432

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