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 Optical Character Recognition


Math-solver app QANDA reaches 1 billion questions solved

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Seoul-based edutech startup Mathpresso announced that its math-solver app QANDA reached 1 billion questions solved by the app. The number of Thai users reached 320K - roughly 10% of the national K-12 population with smart phones in Thailand. Developed by Korea's leading edtech startup, Mathpresso, 'QANDA' is a mobile app that enables students of all levels to receive instant solutions and 1-on-1 support from some of the world's top-university tutors. Users can take a photo of a math problem, upload it to the app, and then its AI-based optical character recognition scan will find and solve it in five seconds. Since its launch in 2016, QANDA has solved over 1 billion problems submitted by students from over 50 countries.


AI-Powered OCR -- Laying Groundwork for Automation? - DZone AI

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We arguably live in one of the phenomenal eras witnessing technological disruption. We are transforming into a more digitalized world where businesses are going digital. Especially, when the recent pandemic situation has made us realize the importance of digitization and global connectivity. As a result, a countless number of physical documents have been digitized using advanced technologies. One of these is Optical Character Recognition (OCR).


Japan Post closer to scrapping Saturday mail deliveries

The Japan Times

Saturday deliveries of ordinary mail from Japan Post may soon be a thing of past. During a Diet session set to begin on Oct. 26, the government plans to submit a bill scrapping such deliveries, sources have said. If the bill is enacted during the session, Saturday deliveries are expected to be abolished as early as autumn next year, the sources said. The government has been refraining from submitting the bill to revise the postal law in order to prioritize responses to sales irregularities involving postal life insurance products. The postal law currently requires Japan Post Co. to deliver ordinary mail six days a week or more.


Japan Post closer to scrapping Saturday mail deliveries

The Japan Times

Saturday deliveries of ordinary mail from Japan Post may soon be a thing of past. During a Diet session set to begin on Oct. 26, the government plans to submit a bill scrapping such deliveries, sources have said. If the bill is enacted during the session, Saturday deliveries are expected to be abolished as early as autumn next year, the sources said. The government has been refraining from submitting the bill to revise the postal law in order to prioritize responses to sales irregularities involving postal life insurance products. The postal law currently requires Japan Post Co. to deliver ordinary mail six days a week or more.


OpenCV Sudoku Solver and OCR - PyImageSearch

#artificialintelligence

In this tutorial, you will create an automatic Sudoku puzzle solver using OpenCV, Deep Learning, and Optical Character Recognition (OCR). My wife is a huge Sudoku nerd. Every time we travel, whether it be a 45-minute flight from Philadelphia to Albany or a 6-hour transcontinental flight to California, she always has a Sudoku puzzle with her. The funny thing is, she prefers the printed Sudoku puzzle books. She hates the digital/smartphone app versions and refuses to play them. I'm not a big puzzle person myself, but one time, we were sitting on a flight, and I asked: How do you know if you solved the puzzle correctly?


Handwritten Character Recognition with Neural Network - DataFlair

#artificialintelligence

In the above code segment, we print out the training & validation accuracies along with the training & validation losses for character recognition. We have successfully developed Handwritten character recognition (Text Recognition) with Python, Tensorflow, and Machine Learning libraries. Handwritten characters have been recognized with more than 97% test accuracy. This can be also further extended to identifying the handwritten characters of other languages too. Did you like our efforts?


Judge blocks Postal Service changes that slowed mail delivery

FOX News

Fox News senior judicial analyst Judge Andrew Napolitano weighs in on debate over USPS and mail-in voting. A U.S. judge on Thursday granted a request to temporarily block controversial Postal Service changes that have been accused of slowing mail nationwide, calling them "a politically motivated attack " ahead of the 2020 presidential election. Judge Stanley Bastian in Yakima, Wash., said he was issuing a nationwide preliminary injunction against the USPS sought by 14 states that sued the Trump administration and the Postal Service. The states, all led by Democratic attorneys general, challenged the Postal Service's so-called "leave behind" policy, where trucks have been leaving postal facilities on time regardless of whether there is more mail to load. They also sought to force the Postal Service to treat election mail as first-class mail.


OCR a document, form, or invoice with Tesseract, OpenCV, and Python - PyImageSearch

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In this tutorial, you will learn how to OCR a document, form, or invoice using Tesseract, OpenCV, and Python. On the left, we have our template image (i.e., a form from the United States Internal Revenue Service). The middle figure is our input image that we wish to align to the template (thereby allowing us to match fields from the two images together). And finally, the right shows the output of aligning the two images together. At this point, we can associate text fields in the form with each corresponding field in the template, meaning that we know which locations of the input image map to the name, address, EIN, etc. fields of the template: Knowing where and what the fields are allows us to then OCR each individual field and keep track of them for further processing, such as automated database entry.


OCR Graph Features for Manipulation Detection in Documents

arXiv.org Artificial Intelligence

Detecting manipulations in digital documents is becoming increasingly important for information verification purposes. Due to the proliferation of image editing software, altering key information in documents has become widely accessible. Nearly all approaches in this domain rely on a procedural approach, using carefully generated features and a hand-tuned scoring system, rather than a data-driven and generalizable approach. We frame this issue as a graph comparison problem using the character bounding boxes, and propose a model that leverages graph features using OCR (Optical Character Recognition). Our model relies on a data-driven approach to detect alterations by training a random forest classifier on the graph-based OCR features. We evaluate our algorithm's forgery detection performance on dataset constructed from real business documents with slight forgery imperfections. Our proposed model dramatically outperforms the most closely-related document manipulation detection model on this task.


The Difference between Robotic Process Automation and Artificial Intelligence

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Many people often asked about the difference between Robotic Process Automation (RPA) and Artificial Intelligence (AI). Some even confused the two to be the same. To make matters worse, many vendors are now brandying about terms like Intelligent Automation (IA) or Intelligence Process Automation (IPA). For the uninitiated, all these jargon can be very confusing, and perhaps daunting. To help you out, we have put together this blog post to highlight the key differences between RPA and AI, particularly in the context of process automation.