Feature Extraction for Input Digit Images
This program implements feature extraction for input digit images, generating corresponding vector representations to facilitate subsequent recognition tasks. The implementation involves key computer vision algorithms for dimensionality reduction and pattern identification, typically utilizing techniques like HOG (Histogram of Oriented Gradients) or pixel intensity normalization to convert spatial image data into meaningful numerical features.