Cerenaut/Preprocess-NIST-SD19
Preprocessing for NIST Special Dataset 19 (uppercase single-character handwritten characters A..Z). Converts to same formatting as Yann Lecun MNIST (handwritten numerical digits 0..9), and produces a set of PNG images.
This tool helps researchers and educators prepare image datasets for machine learning models that recognize handwritten characters. It takes raw image files of uppercase handwritten letters (A-Z) from the NIST Special Database 19 and transforms them into a standardized format, similar to the well-known MNIST dataset for handwritten digits. The output is a collection of PNG images, ready for use in combined alphanumeric recognition projects.
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Use this if you need to standardize the appearance of handwritten uppercase character images (A-Z) to match the MNIST digit format for use in machine learning models.
Not ideal if you need to process handwritten lowercase letters, symbols, or other character sets, or if you require an automatically split training and test dataset.
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Language
Java
License
GPL-3.0
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Last pushed
Jan 09, 2018
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