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These code samples will demonstrate how to use OCR(Optical Character Recognition) to extract text from a PDF document in ASP.NET, C#, C++, VB.NET and ...

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Cognitive Services - Extract printed text ( OCR ) using C# and ...
13 Jul 2018 ... Net Core & C# . ... to extract printed text also known as optical character recognition ( OCR ) from an image using C# . ... Report abuse to Microsoft .


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In addition to (or instead of) placing the date on each slide, you can insert an individual instance of the current date or time on a slide, perhaps as part of a sentence. To do so, position the insertion point inside a textbox or placeholder and then, on the Insert tab, click Date and Time. Select the format you want from the dialog box that appears and click OK. n

> 0,

& In the Contour section of the Layer Style dialog box, set the Range to 10%.

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Feb 26, 2018 · In this article, we are going to learn how to use Google Vision API with ASP. ... optical character recognition (OCR), and tagging of explicit content. ..... Reference taken from- https://cloud.google.com/vision/docs/face-tutorial.

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Dynamsoft .NET OCR library is a fast and robust Optical Character Recognition component that can be embedded into your application in C# or VB.NET.

1. Convert the photo image s Background layer to a normal layer. To do this, doubleclick the Background layer in the Layers palette. This displays the New Layer dialog. Name the new layer Phone and click OK. 2. Make an initial selection of the phone with the Quick Selection tool. Select the Quick Selection tool from the Toolbox it s in the same group as the Magic Wand tool and choose a medium brush size by clicking the Brush option in the options bar. Try a Diameter setting of around 70 pixels.

This image is looking great. We only have one step left in our Phase 2 retouching final skin smoothing. Let s get to it.

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C# OCR SDK Library. C# Text Recognition API Examples
If you want to know how to work with OCR SDK in C# you should read the quick start guide with OCR SDK for C# .

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Cognitive Services - Extract printed text ( OCR ) using C# and ...
13 Jul 2018 ... In this article we are going to learn how to extract printed text also known as optical character recognition ( OCR ) from an image using C# ... C# , Microsoft Azure, ASP.NET MVC, OCR , Cognitive Services, Optical Character Recognition , Microsoft Cognitive Services, Microsoft Computer ...

n Adjust the Fuzziness value While this option appears sooner in the dialog box than the Add and Remove colors eyedroppers, I mention after them here because you can use the slider to tweak the results of using those tools The Fuzziness option resembles the Magic Wand s Tolerance value because it determines the range of colors to be selected beyond the ones you click Increase the Fuzziness value to expand the selected area; decrease the value to contract the selection A value of 0 selects only the clicked color Unlike changes to Tolerance, however, changing the Fuzziness value adjusts the selection on the fly; no repeat clicking is required, as it is with the Wand tool Fuzziness and Tolerance also differ in the kind of selection outlines they generate Tolerance entirely selects all colors within the specified range and adds anti-aliased edges.

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This holiday always falls on December 25:

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Mar 7, 2016 · In this article I am going to show how to do OCR using Tesseract in C#.

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simple c# class for Optical Character Recognition(OCR) using tesseract (http://​code.google.com/p/tesseract-ocr/) usage: pass .exe path to constructor ...

If the selection were a mask, most of it would be white with a few gray pixels around the perimeter By contrast, Fuzziness entirely selects only the colors you click and Shift-click, and it partially selects the other colors in the range That s why most of the mask is expressed in shades of gray The light grays in the mask represent the most similar colors; the dark grays represent the least similar pixels that still fall within the Fuzziness range The result is a tapering, gradual selection, much more likely to produce natural results n Invert the selection Sometimes isolating the area you don t want to select is easier than isolating the area you do want to select In that case, just select the Invert option to reverse the selection, changing black to white and white to black n Toggle the preview area.

The preceding procedure works for both FTp and network-connected remote sites. If you are working within a WebDaV environment, see the Communicating with WebDaV section later in this chapter that discusses enabling Check In and Check Out protocols for that environment. n

Use the two radio buttons below the preview area to control the preview s contents If you select the first option, Selection, you see the mask that will be generated when you press Enter (Win) or Return (Mac) If you select Image, the preview shows the image The latter option is a little less telling in terms of what you can expect to be extracted when you click OK so Selection is really the more effective option here..

8. Add all the layers to a new group. Select the top paint layer in the Layers palette, then hold down Shift and select the bottom paint layer. Now press Ctrl+G ( +G on the Mac) to group the layers into a new layer group. Doing this has two advantages. First, you can collapse the group to keep the Layers palette tidy. Second, you can now reduce the effect of the paint layers as a whole by changing the Opacity setting of just that group. You can see how these layers have finished up in Figure 15.28.

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Microsoft OCR Library for Windows Runtime - Windows Developer ...
18 Sep 2014 ... Microsoft OCR Library for Windows Runtime. By Windows Apps Team ... for example you can recognize patterns such as email addresses, phone ... The extracted text and layout info are contained within OcrResult : C# 2.

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Microsoft OCR Library Sample in C# , C++, JavaScript for Visual ...
30 Sep 2014 ... We are sunsetting the MSDN Code Gallery. Make sure to back up your code. ... Demonstrates how to use the Microsoft OCR Library for Windows Runtime to extract text in the specified language from an image.
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