tekstituvastusel

Tekstituvastus, also known as Optical Character Recognition (OCR), is a technology that converts images of typed, handwritten, or printed text into machine-readable text data. This process allows for the digital manipulation, searching, and storage of documents that were originally in a non-editable format.

The core of tekstituvastus involves several stages. First, the image is preprocessed to improve its quality, which might include noise reduction, deskewing, and binarization (converting the image to black and white). Next, segmentation separates the text into individual lines, words, and characters. Then, character recognition algorithms analyze each character's shape and compare it to a database of known characters. Finally, post-processing steps, such as spell-checking and language modeling, refine the recognized text for accuracy.

Tekstituvastus has a wide range of applications. It is crucial for digitizing historical documents, making them accessible for research and preservation. In business, it automates data entry from invoices, forms, and other documents, saving time and reducing errors. For individuals, it can be used to convert scanned books or documents into editable text files, enabling easier reading and sharing. Accessibility tools also utilize tekstituvastus to convert printed text into speech for visually impaired individuals.

The accuracy of tekstituvastus systems depends on factors like the quality of the input image, the font used, and the complexity of the layout. Advancements in artificial intelligence and machine learning continue to improve the performance and capabilities of these technologies.