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Books and documents are key sources of knowledge, but access is limited for visually impaired or blind individuals who cannot read. This study proposes a Character Recognition System (CRS) to improve reading accessibility for such individuals using advanced technology.A new dataset, Printed English Characters (PEC), was created, comprising 5400 images (100 samples for each character: lowercase letters, uppercase letters, and spaces). The images undergo preprocessing operations such as binarization, segmentation, and resizing before being input into a Deep Convolutional Neural Network...