OCRkäsittely

OCRkäsittely, or Optical Character Recognition (OCR) processing, is a technology that converts different types of documents, such as scanned paper documents, PDF files, or images captured by a digital camera, into editable and searchable data. The process involves several steps, including image acquisition, preprocessing, segmentation, recognition, and post-processing.

Image acquisition is the first step, where the document is captured using a scanner or camera. Preprocessing follows, which involves enhancing the image quality by removing noise, correcting skew, and improving contrast. Segmentation then divides the image into smaller parts, such as lines, words, or characters, to facilitate recognition.

Recognition is the core step where the segmented parts are analyzed and converted into text. This is typically done using machine learning algorithms that have been trained on large datasets of text. Post-processing involves correcting errors, formatting the text, and adding metadata.

OCRkäsittely has numerous applications, including digitizing historical documents, automating data entry, and enabling text-based search in scanned documents. It is widely used in libraries, archives, businesses, and government agencies. However, the accuracy of OCR depends on the quality of the input image and the complexity of the text.