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                <identifier>oai:data.mendeley.com/sx2zr63y7d.2</identifier>
                <datestamp>2023-09-26T14:15:34Z</datestamp>
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    <dc:creator>bappi, jabed omor</dc:creator>
    <dc:title>Hypercomplex Bangla Handwriting Character Data</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>The Bangla Handwritten Recognition Data consists of two main folders, namely &quot;Train&quot; and &quot;Test Dataset.&quot; Within these folders, there are a total of 580 subfolders, each representing a distinct class or unique Bangla handwritten character. These subfolders are a result of collecting handwritten samples from various students who attended Orbit coaching center, capturing a diverse range of writing styles and variations. The dataset is designed to facilitate the development and evaluation of machine learning models for recognizing handwritten Bangla characters, making it a valuable resource for research and applications in character recognition and linguistic analysis within the context of the Bengali language.</dc:description>
    <dc:subject>Recognition</dc:subject>
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    <dc:identifier>oai:data.mendeley.com/sx2zr63y7d.2</dc:identifier>
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    <dc:date>2023-09-26T14:15:34Z</dc:date>
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