Getting complete power over your papers at any time is important to alleviate your daily duties and boost your productivity. Achieve any objective with DocHub tools for papers management and practical PDF file editing. Gain access, change and save and integrate your workflows along with other protected cloud storage.
DocHub gives you lossless editing, the possibility to work with any formatting, and safely eSign papers without searching for a third-party eSignature software. Get the most of your file management solutions in one place. Try out all DocHub features right now with your free of charge profile.
Hello, everyone. Paul here from MathWorks. Today, Im going to show you how you can use optical character recognition, OCR, to automatically extract text from a scanned document. Since most medical documents contain sensitive personal information, well be working with a mock laboratory report containing the health screening results for a fictitious patient. Here you see the scanned document from which well be extracting text. In particular, well be extracting the numeric data in the Result column and storing it in a table along with the corresponding string data from the Test Name column. Since this is a made-up example, well also have access to the underlying data table that was used to populate the mock laboratory report. As such, at the end, well evaluate the OCR performance by comparing the extracted values with the actual reported value stored in this Excel spreadsheet. Optical character recognition can be implemented in MATLAB in just one line of code. However, unlike extra