Progress In Character Recognition Hardcover

Progress In Character Recognition examines the sophisticated algorithms used to translate printed or handwritten text into machine-encoded data. This volume covers the transition from template matching to deep learning-based OCR. It explores challenges such as font variability, noise reduction, and multilingual script recognition. For computer scientists and software engineers, this book provides a comprehensive technical overview of document analysis systems, highlighting applications in automated data entry, digital libraries, and assistive technologies for the visually impaired.