OCRology

The most common scenario for #OCR is the printed/pdf OCR. The #structured nature of printed documents makes it much easier to parse them. Most OCR tools (e.g #Tesseract) are intended to address this task, & achieve good result. @thalesgroup @Currencycloud http:/ocrology.com

Extract #data from your #ID cards, #invoices, and receipts in real-time with less #manual work and fewer typos into your systems and make better decisions using our fully optimized mobile #SDK. @WISeKey @SamsungSDSA ow.ly/TOq930qk3zI

A gentle introduction to #OCR - Towards #Data Science @pingidentity @SelfKey ow.ly/Kih630qhxmz

OCRology: Intelligent #data extraction on your #mobile, powered by #Artificial Intelligence. @blockstack @SecureKey ow.ly/fLPy30qgHsH

#Optical Character Recognition #OCR of over 40 types of identity documents can be detected, including #passports, visas (with MRZ) and driving licenses. ow.ly/bURK30qeJfJ

Arm your #business or customer with our #flexible and optimised mobile #SDK to capture unstructured and semi-structured data. @PassFortKYC @Garmin ow.ly/idJV30qeJ7C

Our mission is to help businesses streamline #workflow #automation, faster registration with data integrity, and less #operational costs. @Scanovate @ForgeRock ow.ly/Nqm230qaGik

Powered by Neural Networks, OCRology is available with a flexible & optimized #SDK. Our mobile SDK is lightweight, designed to achieve swift, accurate on-device level text detection and document processing, be it #real-time or offline. @AuthentiqID ow.ly/7hzJ30qgHrw

#SynthText is not a data-set, and perhaps not even a task, but a nice idea to improve training efficiency is artificial #data generation. @DiscoverElement @shieldpay ocrology.com

Minimise repetitive tasks, #optimise #workflow and save your organisational costs. #ocrology ow.ly/ng2x30qm5XK

Early versions of #OCR had to be trained with images of each character and were limited to recognising one #font at a time. In the 1970s, inventor Ray Kurzweil commercialised “omni-font OCR”, which could process text printed in almost any font. ow.ly/BGVp30qm5UI

#OCR in the wild; This is the most challenging OCR task, as it introduces all general computer #vision challenges such as noise, lighting, and artifacts into OCR. @dashlane @Uniken_Inc ocrology.com

#OCR traces its roots back to telegraphy. On the eve of the 1st World War, physicist Emanuel Goldberg invented a #machine that could read characters and convert them into telegraph #code. ocrology.com

#CRNN Convolutional-recurrent neural network, is an article from 2015, which suggest a hybrid (or tribrid?) end to end #architecture, that is intended to #capture words, in a 3 step approach. @signifyd @truststamp ocrology.com @truststamp

In its most general meaning, OCR refers to extracting text from every possible image, be it a standard printed page from a book, or a random image with graffiti in it (“in the wild”). Such as reading license plates, no-robot captchas, street signs etc.

The most common scenario for #OCR is the printed/pdf OCR. The #structured nature of printed documents make it much easier to parse them. Most OCR tools (e.g #Tesseract) are mostly intended to address this task, and achieve good result.

Extract #data from your #ID cards, invoices, and receipts in real-time with less #manual work and fewer typos into your systems and make better decisions using our fully optimized mobile #SDK. @aidtechnology @trusona_inc ow.ly/TOq930qk3zI

Arm your business or #customer with our flexible and optimised mobile #SDK to #capture unstructured and semi-structured data. @getShoCard @GBRSedicii #OCR ow.ly/id5p30qk3wP

Introducing #intelligent mobile optical character recognition #OCR that works #offline. @trulioo @civickey ow.ly/Vq3q30qk38q

51% of financial executives experience pain with data problems. OCRology enables real-time data extraction from #ID cards, Invoices and receipts with less manual work and fewer typos. @Onfido @BehavioSec ocrology.com ocrology.com