gymprathap/Handwriting-Recognition-Dataset

The dataset comprises over four hundred thousand handwritten names obtained from charitable initiatives. 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.

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.

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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