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Code Examples : PDF OCR & Text Extraction | Iron Pdf
C# + VB.Net: PDF OCR & Text Extraction PDF OCR & Text Extraction VB. C# . // Extracting PDF Image and Text ... Class Documentation · Previous Example.

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How to implement and do OCR in a C# project? - Stack Overflow
15 Jan 2015 ... If anyone is looking into this, I've been trying different options and the following approach yields very good results. The following are the steps to get a working ...


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As Karen discovered, the location, room size, seating arrangement, temperature, noise level, and mood all affect your presentation. Even though it s often easier to accept whatever location and room arrangement you might be offered, the more control you can exert over the environment, the more control you have over the outcome of your meeting. To leverage your position, plan the setting as well as you plan the content of your talk.

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The C# OCR Library | Iron Ocr - Iron Software
C# + VB.Net: Automatic Image to Text Automatic Image to Text VB. C# ... The AutoOCR Class provides the simplest (though not always fastest) way to extract text ...

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Optical Character Recognition in PDF Using Tesseract ... - Syncfusion
25 Jul 2018 ... Tesseract is an optical character recognition engine, one of the most accurate OCR ... Syncfusion Essential PDF supports OCR by using the Tesseract .... Servers Succinctly; [Blog post] 7 ways to compress PDF files in C# , VB.

Based on trends in grayscale reading, these systems also can accurately detect process drifts through real-time process control charting For double-sided assemblies, however, the transmission x-ray images of solder joints on the top side will overlap with the images of solder joints on the bottom side The x-rays are absorbed by any solder in their path through the printed circuit assembly from the source to the detector These overlapping images make accurate solder joint measurement impossible Transmission x-ray imaging also cannot easily distinguish between the top, bottom, and barrel of PTH solder joints or the bottom of BGA solder joints So transmission x-ray systems cannot be used for accurate measurement of and defect detection in solder joints on doublesided assemblies or for PTH and BGA solder joints..

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A .Net wrapper for tesseract-ocr. Contribute to charlesw/tesseract development by creating an account on GitHub.

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You can use WIA library to control the scanning process and tesseractdotnet for OCR. An updated .NET 4.0 version can be found here.

Cross-Sectional X-Ray Systems 53.10.3.1 Operating Principles. Cross-sectional x-ray systems radiate x-rays at an acute angle from vertical through the printed circuit assembly being inspected.As Fig. 53.12 indicates, images from all around the particular view being inspected are added together or integrated essentially to create an x-ray focal plane in space. This focal plane creates a cross-sectional image, approximately 0.2 to 0.4 mm thick, right at the focal plane, by blurring everything above and below the focal plane into the background, or noise, of the image. By moving the top side of an assembly into the focal plane, cross-sectional images of only the solder joints on the top side are created. By moving the bottom side of an assembly into the focal plane, cross-sectional images of only the solder joints on the bottom side are created. Separate images of top and bottom sides are always created, preventing any image overlap from the two sides. 53.10.3.2 Application. Cross-sectional x-ray automated inspection systems work well for all types of printed circuit assemblies, including single-sided and double-sided, surface-mount, through-hole, and mixed-technology assemblies. These systems accurately detect the same solder joint and component defects as do transmission x-ray systems, but, in addition, the cross-sectional x-ray systems accurately detect insufficient solder conditions for BGA and pin-through-hole solder joints. Some cross-sectional x-ray automated inspection systems go beyond just grayscale readings of specific solder joint features. By carefully calibrating grayscale readings to actual solder thickness, it is possible to generate real-world measurements, in physical units rather than grayscale numbers, of fillet heights, solder and void volume, and average solder thickness for

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Aug 24, 2009 · Reading text from any image using Microsoft Office 2007 OCR. ... MODI.​Document md = new MODI.Document(); md.Create(Convert.

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Mar 7, 2016 · Tesseract is one of the most accurate open source OCR engines. Tesseract allows us to convert the given image into the text. Before going to ...

Rotating x-ray detector Feature extraction and rules-based defect detection Center Toe Heel Toe Quantitative dimensional measurements

FIGURE 53.12 Schematic of cross-sectional x-ray automated inspection system for solder joint measurement. Adding images around a circle from a rotating x-ray beam and detector creates a focal plane that captures just the solder joints of interest and nothing else below or above.

the entire joint. Figure 53.13 shows an example of these calibrated measurements. This figure includes the actual cross-sectional x-ray image of tape automated bonded (TAB) solder joints. The profile shown at the top of the x-ray image is generated by the system in physical dimensional units by interpreting and calibrating the grayscale readings of pin 193 in the x-ray image. The table below the x-ray image includes example measurements for both pin 193 and pin 194. Analysis of these physical thickness measurements of solder joints provides the information required for process characterization and improvement. For instance, variations in average solder thickness or volume for the solder joints across a single assembly or from assembly to assembly provide insight into the quality level of the paste printing process as well as sources of defects. The image-processing software then finds and measures solder joint features and flags defects accordingly.

Advantages and Disadvantages of X-Ray Inspection X-ray solder joint inspection systems can reach average inspection speeds of around 50 to 150 joints per second. X-ray solder joint inspection systems also have higher prices, typically about 50 to 100 percent more than the price of the optical solder joint systems with the fastest inspection speed capability.

Tape-automated bond (TAB) 2.20

Good board (pin 6) Reference designator U1 pin 193 Inspection point Pad Heel Center Toe Pad Heel Center Toe Thickness (in 0.001") 0.59 1.18 0.69 1.34 0.58 1.20 0.68 1.30

To simplify notation, we follow Taylor and Wheeler (2000) and introduce the reduced circumference R2 = r 2 + m2 + 2m 3 r (11.19)

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Mar 6, 2019 · C# example shows how to extract text from image file using OCR library. ... We are sunsetting the MSDN Code Gallery. Make sure to back up ...

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. NET OCR SDK | Optical Character Recognition - RasterEdge.com
NET PDF Image Edit Control: online insert, edit PDF images in C# ... NET Imaging OCR SDK is designed to recognize text from scanned documents, images or ...
   Copyright 2019. Provides ASP.NET Document Viewer, ASP.NET MVC Document Viewer, ASP.NET PDF Editor, ASP.NET Word Viewer, ASP.NET Tiff Viewer.