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README.md
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The dataset comprises over four hundred thousand handwritten names obtained from charitable initiatives.
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Character Recognition employs image processing techniques to transform characters present on scanned documents into digital formats. It generally exhibits good performance with machine-printed fonts. Nonetheless, machines still encounter formidable obstacles in accurately identifying handwritten characters due to the vast diversity in individual writing styles.
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The total number of first names is 206,799, while the total number of surnames is 207,024. The data was partitioned into a training set (331,059 samples), testing set (41,382 samples), and validation set (41,382 samples) respectively.
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<a href="http://projectcentersinchennai.co.in" title="Project Centers in Chennai">Project Centers in Chennai</a>
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The dataset comprises over four hundred thousand handwritten names obtained from charitable initiatives.
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Character Recognition employs image processing techniques to transform characters present on scanned documents into digital formats. It generally exhibits good performance with machine-printed fonts. Nonetheless, machines still encounter formidable obstacles in accurately identifying handwritten characters due to the vast diversity in individual writing styles.
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The total number of first names is 206,799, while the total number of surnames is 207,024. The data was partitioned into a training set (331,059 samples), testing set (41,382 samples), and validation set (41,382 samples) respectively.
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FYI: I am not the owner of this dataset. I took this dataset from kaggle. It is very interesting and useful dataset for many computer vision application.
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<a href="http://projectcentersinchennai.co.in" title="Project Centers in Chennai">Project Centers in Chennai</a>
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