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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)2273-2283
Number of pages11
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Issue number6
Publication statusPublished - 1 Dec 2004


  • Digit and command interpretation
  • Electronic book
  • Genetic algorithm
  • Neural networks

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • General Medicine
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering


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