AfricArXiv
Browse

Amharic Online Handwriting Recognition

Download (3.53 MB)
Version 2 2022-10-28, 17:17
Version 1 2022-10-25, 11:15
thesis
posted on 2022-10-28, 17:17 authored by Israel Azime, Kasim Ebrahim, Mehari Geta, Mitiku Yohannes
<p>Growth in the demand of touch screen devices such as smartphones, tablets and PDAs on global</p> <p>market is influencing the way we interact with computers. because of their architectural design</p> <p>these devices does not include attached keyboards as a text entry mechanism rather they use their</p> <p>screen as input device and let the user touch the screen to operate them. This text entry is mostly</p> <p>similar to the traditional way of text entry. For example works that are usually done like text</p> <p>entry are done using virtual keyboards which have same functionality as the hardware keyboard.</p> <p>Amharic is the second most popular Semitic language in Africa and it is the working language of</p> <p>Ethiopia. Despite its popularity no valid and workable research is found that can simplify the text</p> <p>entry and input system of this language.</p> <p>In Spite of rapid technology advancements, text entry on handheld devices is still inconvenient</p> <p>since there is a chance of missing buttons due to their small size specifically input mechanism for</p> <p>Amharic language the use of a keyboard is awkward due to the number of alphabets present in</p> <p>the language. Recently developers are making different keyboard applications but that doesn't</p> <p>seem to solve the problem.</p> <p>Using the touch screen capabilities of handhelds input method which is similar to handwriting is</p> <p>the best way to replace the current text entry approach. most people learn writing by using a pen</p> <p>and a pencil not a keyboard so writing on a touchscreen device like you write on a piece of paper</p> <p>is the natural and easiest way for the users .users can stroke their hand on a given canvas and the</p> <p>application reads what they write .</p> <p>Online handwriting recognition (OHWR) is getting renewed interest as it provides data entry</p> <p>mechanism that is similar to natural way of writing.</p> <p>This project mainly focuses on using this technique to solve the problem mentioned above. The</p> <p>online handwriting recognition project is not new idea .in recent years many researchers are</p> <p>adopting this method for their language use.</p>

History

Usage metrics

    AfricArXiv

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC