With 30+ years of experience in forensic research and the largest library of document templates in the world, Regula creates breakthrough technologies in document and biometric verification. Regula hardware and software solutions allow over 1,000 organizations and 80 border control authorities globally to provide top-notch client service without compromising safety, security or speed.
Regula was named a Representative Vendor in Gartner Market Guide for Identity Proofing and Affirmation in 2022.
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Regula was named a Representative Vendor in the March 2022 Gartner Market Guide for Identity Proofing and Affirmation.
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Based on our record, Tesseract seems to be more popular. It has been mentiond 72 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You will also need to install the Tesseract OCR engine, which can be downloaded and installed from the following link: https://github.com/tesseract-ocr/tesseract. - Source: dev.to / 3 months ago
Tesseract is an open-source OCR engine developed by Google. It is highly accurate and supports multiple languages. This library will do all the heavy lifting for us. We'll use it in this tutorial to quickly read the text in some images. - Source: dev.to / 7 months ago
> Does android even have native OCR? Tesseract? https://github.com/tesseract-ocr/tesseract. - Source: Hacker News / 7 months ago
Install Google Tesseract OCR (additional info how to install the engine on Linux, Mac OSX and Windows). You must be able to invoke the tesseract command as tesseract. If this isn’t the case, for example because tesseract isn’t in your PATH, you will have to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd. Under Debian/Ubuntu you can use the package tesseract-ocr. For Mac OS users. Please... Source: 8 months ago
OCR detection will be done with Tesseract. - Source: dev.to / 9 months ago
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