If the Web Camera is recognized by Windows 10 IoT Core, you can see the device appears on the “connected device” area as follows. With OCR you can extract text and text layout information from images. Honestly, it’s the simplest step in this tutorial. Optical Character Recognition (OCR) for Windows 10 Windows Apps Team Optical Character Recognition (OCR) is part of the Universal Windows Platform (UWP), which means that it can be used in all apps targeting Windows 10. Step 1: Connect Web Camera to Windows 10 IoT Core deviceįor this part, we can directly plug USB port of Web Camera to the Windows 10 IoT Core device. Create OCR recognizer for specific language. Get list of all available OCR languages on device. Determine whether any language is OCR supported on device. Camera (I use Microsoft LifeCam HD-3000), you can pick one according to the official hardware compatibility list. Scenario 1: Load image from a file and extract text in user specified language.Windows 10 IoT Core device (RPi, Minnow Board Max, or GragonBoard).Hence, I want to test OCR on Windows 10 IoT Core. Furthermore, OCR has been used in many software by Microsoft, such as word, OneNote, Office Lens and so on.

It is reported that the Windows 10 November update enables OCR for four new languages, bringing the total number of supported languages to 25 (Click here for more information). For Windows 10 users, OCR is part of the Universal Windows Platform(UWP), which means that we can use OCR on Windows 10, Windows 10 Mobile, and Windows 10 IoT Core. We can convert handwritten or printed text into machine-encoded text by OCR application. Optical character recognition (OCR) is very useful for document scanning, such as invoices, bank statements, receipts, business cards, mail and so on.

Ocr onenote windows 10