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    Knowledge-Based Intelligent Techniques in Character Recognition

    Knowledge-Based Intelligent Techniques in Character Recognition

    Forfatter: info mangler
    Bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

    This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks.

    Features

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    Detaljer
    • SprogEngelsk
    • Sidetal312
    • Udgivelsesdato17-10-2019
    • ISBN139780367399788
    • Forlag Crc Press
    • FormatPaperback
    Størrelse og vægt
  • Vægt426 g
    • coffee cup img
    10 cm
    book img
    15,2 cm
    22,9 cm

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    Neural networks Fuzzy set Handwriting Recognition HMM Knowledge-Based Techniques Data set Handwritten Character Recognition Feature selection: Signature verification Character Recognition Task Component Patterns Character recognition systems False Accepts Fuzzy Genetic Algorithm HMM Parameter Handwritten Characters Handwriting Recognition System Intelligent character recognition techniques Feature Selection Problem Feature Subsets License Plate Recognition System Gabor filters Handwritten Word Fuzzy Rule Base NIST Database Recognition Rate Rotation-invariant neocognitron Reference Vector Training Patterns Segmentation Points
    Machine Name: SAXO080