IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v21y2024i08ns0219877024400029.html
   My bibliography  Save this article

Performance Comparison of Online Handwritten Telugu Character Recognition Using Various Local and Global Features

Author

Listed:
  • Srilakshmi Inuganti

    (Department of Computer Science and Engineering, Jawaharlal Nehru Technological University, Kakinada 533003, Andhra Pradesh, India)

  • R. Rajeshwararao

    (��Department of Computer Science and Engineering, JNTU-GV College of Engineering, Vizianagaram 535003, Andhra Pradesh, India)

Abstract

As the text is written on a special digitizer or Personal Digital Assistance (PDA) in which a sensor picks up the pen-tip movements along with the pen-up/pen-down switching, its automatic conversion is performed in the online Handwriting Recognition (HR). There are several works related to the online recognition of Devanagari as well as Tamil scripts. Meanwhile, the online recognition works associated with other Indian languages, specifically Telugu, which is complex in its structure together with style, are very few. Our work emphasizes the development of an online handwritten Telugu character recognition system using dominant points with the combination of SVM and performance analysis of various other features. Three classifiers namely, SVM, K-NN and MLP are used to examine the performance of the feature vectors. The proposed research is verified with HP-Lab data available in the UNIPEN format.

Suggested Citation

  • Srilakshmi Inuganti & R. Rajeshwararao, 2024. "Performance Comparison of Online Handwritten Telugu Character Recognition Using Various Local and Global Features," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-25, December.
  • Handle: RePEc:wsi:ijitmx:v:21:y:2024:i:08:n:s0219877024400029
    DOI: 10.1142/S0219877024400029
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877024400029
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S0219877024400029?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitmx:v:21:y:2024:i:08:n:s0219877024400029. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.