Transform your daily workflows and OCR Teacher Evaluation Survey

Aug 6th, 2022
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How to OCR Teacher Evaluation Survey

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okay just here making a student evaluation with Google Forms so heres the instructions on the website so you can start from scratch of making your own google form or you can use this template here and if you click on that link its gonna ask you if you would like to make a copy so I do want to make a copy and in this case Im going to do a teacher evaluation for beauty and science class so I can get at that theyre questions that are built into it I feel is sort of stock standard I can add or delete questions as I need to this is going to come up with some linear scale questions and then obviously at the bottom weve got some more comment type of questions so Im happy with it and Im ready to send it to my students to click on the send button now I can email it to them thats one way we dont often have emailing for our students I can embed it in a web site or I can just send them the link and what forms does is it enables me to shorten that URL so I could either just post that URL

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5 Ways to Improve OCR Accuracy Good Quality of Source Images. Before using OCR, make sure you can read the images with your own eyes. Right Size of Images. Remove Noise / Denoise. Increase Image Contrast. De-skew Original Source.
The method was evaluated using Tesseract and compared to ABBYY FineReader and HANWANG OCR. The following results are presented for Tesseract: the original set of samples achieves a precision of 0.907 and 0.901 recall rate, while the preprocessed set leads to a precision of 0.929 and a recall of 0.928. Thompson et al.
In this article, we will look at two metrics used to evaluate OCR output, namely Character Error Rate (CER) and Word Error Rate (WER).
Good OCR accuracy. = 98-99% accurate. (1-2% of OCR incorrect) Average OCR accuracy. = 90-98% accurate.
Obviously, the accuracy of the conversion is important, and most OCR software provides 98 to 99 percent accuracy, measured at the page level. This means that in a page of 1,000 characters, 980 to 990 characters will be accurate. In most cases, this level of accuracy is acceptable.
An ImageProcessingTools object can be obtained by calling the CreateImageProcessingTools method from an Engine object. The CalcSuitableForOcr method returns a double value in the interval from 0.0 to 1.0 that indicates how suitable the image is for OCR, with 0.0 being the worst score and 1.0 the best.
Measuring OCR accuracy is done by taking the output of an OCR run for an image and comparing it to the original version of the same text. You can then either count how many characters were detected correctly (character level accuracy), or count how many words were recognized correctly (word level accuracy).

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