Technical Architecture
Standard ISO 32000-1 Document Guidelines
5 min read
Neural Networks and Optical Character Recognition in PDF Archiving
1.Binarization, Tesseract Models, and Coordinate Alignment
OCR pipelines begin with image pre-processing: Otsu binarization separates foreground text glyphs from background noise, followed by Hough transform deskewing to ensure horizontal text baseline alignment.
Deep learning LSTM models classify character probabilities and beam-search language dictionaries to construct words. Bounding box coordinates are then converted into PDF matrix operators (Tm) to place text invisibly over the scan.