Image Preprocessing

Raw pixel values are noisy and redundant — neighboring pixels often carry the same information. The postal facility wants faster predictions without sacrificing accuracy. Your task: preprocess the digit images using standardization and PCA to reduce 64 features down to just 20, then prove the compressed representation still yields strong classification. This is how real CV pipelines handle high-dimensional image data.