An enhanced quadratic angular feature extraction model for arabic handwritten literal amount recognition

Qais Al-Nuzaili*, Ali Hamdi, Siti Z.Mohd Hashim, Faisal Saeed, Mohammed Sayim Khalil

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

    5 Citations (SciVal)
    Original languageEnglish
    Title of host publicationLecture Notes on Data Engineering and Communications Technologies
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages369-377
    Number of pages9
    DOIs
    Publication statusPublished (VoR) - 2018

    Publication series

    NameLecture Notes on Data Engineering and Communications Technologies
    Volume5
    ISSN (Print)2367-4512
    ISSN (Electronic)2367-4520

    Funding

    The authors would like to thank UTM Big Data Center (UTM-BDC), Faculty of Computing, Universiti Teknologi Malaysia for partially funding and helping to make this work published.

    FundersFunder number
    UTM
    UTM-BDC
    Universiti Teknologi Malaysia

      Keywords

      • Angular method
      • Arabic handwritten word recognition
      • Feature extraction
      • Pixel distributed-based features

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