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azure computer vision ocr: Jul 2, 2019 · ... analyze a local image using the Computer Vision APi with Python. ... to perform optical character r ...



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2019 Examples to Compare OCR Services: Amazon Textract ...
18 Jul 2019 ... 2019 Examples to Compare OCR Services: Amazon Textract/Rekognition vs Google Vision vs Microsoft Cognitive Services ...

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Computer Vision API - OCR bounding boxes - Microsoft Tech ...
21 May 2017 ... I'm building an API for a customer than leverages computer vision to analyse images. ... When I upload my test image to my API, the JSON response from the computer vision API seems to have the lines all jumped up. ... The documentation seems to indicate the bounding box are x-y coordinates ...

identi ed using the techniques discussed in 6 Many of the shortfalls of the current data are found during data pro ling and/or detailed data analysis performed while data modeling If the data is not captured anywhere, then it cannot be included in the database Additional data hallenges are discovered during the development of the ETL system It takes a lot of detailed, tedious work to track down and resolve all of these individual data issues It is important to ensure that issues are well understood so that decisions can be made about how to deal with problems that arise In some cases, getting to the bottom of the problem itself may take a lot more research A decision must be made whether to work on the problem or to postpone it for the future This must be a joint business and technical decision Some problems can be put off with little or no immediate impact, but some data issues must be resolved in order to meet the overall objectives of the project For example, suppose the organization has been collecting customer demographic data for years When customers call in, they are asked if they are willing to complete a short survey This short survey collects additional demographics about each customer household While it sounds interesting to use for analysis, most customers did not participate, so only 15% of the customers have any data To make matters worse, the entry screens required the answers to be keyed in, rather than using a set list of options, so the data that has been collected has many different values and will require a lot of cleaning to make it useful The question at hand is whether this is worth the effort Because the demographic analysis is not an immediate priority, and the work required is signi cant, this was postponed to a subsequent iteration In the meantime, a better data solution is to modify the survey entry screen to capture pre-set options so that the data is consistent In addition, the top ve most important questions need to be included in the initial conversation with the customer, rather than as an optional survey These decisions need to be based on a cost-bene t analysis not a multi-week effort, but simply a checkpoint to ensure that resources are used wisely to deliver the most value in a timely manner Often, the data problems identi ed when working on a data warehouse project are data quality problems in the underlying source systems and/or business processes It is important to dig down to nd out the root cause of data quality problems Then, decisions can be made to eliminate the problems from recurring.



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Docparser Adds OCR And PDF Data Extraction To Microsoft Flow ...
Docparser Adds OCR And PDF Data Extraction To Microsoft Flow And ... new integration also brings Docparser closer to companies running on the Azure cloud.

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Microsoft Azure Computer Vision OCR activity not giving the same ...
13 Jun 2019 ... I have a project that requires reading text (both printed and ... Since UiPath has the Microsoft Azure Computer Vision OCR , I tested it but was ... Yes, I first tried with the free API and Endpoint that i got from Microsoft (without ...

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May 28, 2019 · I have put together a video on cognitive OCR and PowerApps which allows you to scan and search through your paper documents using Azure ...

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The difference is described here in the docs: https://docs.microsoft.com/en- ... OCR is synchronous, uses an earlier recognition model but works ...

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... https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/​concept-recognizing-text#ocr-optical-character-recognition-api.

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TAGGUN - Real-time Receipt OCR API for developers
TAGGUN scans a receipt with OCR technology within 5 seconds with 83.67% accuracy rate. We can extract information for receipts from multiple countries. ... Vision API and Microsoft Cognitive Service API to perform the image-to-text OCR .

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A more simplistic solution is to use fixed-point arithmetic, directly mapping floating-point numbers to integers We will just imagine a decimal point between the third and fourth digits The weakness of using fixed-point arithmetic s that you are limited in how many decimal spots you can use after the floating point However, the precision is generally good enough to suit the needs of sprite movement To achieve the best precision, you should use a long integer, because it is the largest numerical format in the Java language Long integers offer 64 bits for floating-point number representation Because most devices have small screens and relatively coarse sprite movement, most sprite math usually involves real numbers in the range between 0001 and 1000000 Because you'll need four digits to represent 1000, its integer value would be 1000 Further, the integer value of 1000000 would be 1000000 Our custom floating-point library must also implement common mathematical functions For example, the trigonometric sine function can be calculated using an interactive formula This approach is very precise if a high enough number of iterations are performed Unfortunately, it is difficult to predict how many loops are needed to calculate sine with precision, and each loop eats up precious time A much faster approach is to use pre-calculated value tables (a list of values) for each function The table for sine can have the results for angle values of 0, 10, 20, and so on, all the way to 90 If a game needs to find the sine of 6 , the library uses linear interpolation to calculate it based on neighboring results The more values that are in the table, the more precise results can be More precision can also be achieved by interpolating through more points Listing 171 implements a basic floating-point library for J2ME Listing 171 The Float Class.

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Over a number of years, very complex logic can be embedded into reporting systems Sometimes the logic is applied to load data into a database, but in any cases the logic is applied when reports are created This means that if the logic changes, it needs to be changed everywhere Unfortunately, over time, there can be a divergence of this logic across different reports In addition, this logic can be a series of rules that are applied in layers For example, the logic may rst get the subset of new customers Next, logic is determined using a series of codes to identify the source of their business (agents, the web, or other channels) Finally, a complex formula is applied to determine their sales potential This is a simple example to communicate the concept In reality, business logic can be extremely complex, with many layers The challenge for the data warehouse team is to determine where to get these rules Some organizations can have dozens of SAS programs with many lines of code to apply the business logic, and the original author of the logic is no longer with the company The IT team members can reverse engineer the programs and/or reports to derive the existing business rules Then, the business team members need to review those rules to determine whether they are still appropriate However, another option is to start over and develop rules from scratch This can be a better choice if the rules have been in place for a long time, the business itself has changed signi cantly, or the rules were not clearly de ned and applied consistently in the current environment Which option to pursue should be a joint decision between IT and the business.

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Jul 18, 2019 · Microsoft Cognitive Services (Read API) ... Both Microsoft and Google have additional OCR services that focus on that use case. ... we'll also touch on the current price of each service (with links to pricing pages so you can ...

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Cognitive Services Pricing—Computer Vision API.​ Use intelligence APIs to enable vision, language, and search capabilities.​ ... Capabilities include image analytics, tagging, recognition celebrities, text extraction, and smart thumbnail generation.












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