I have a project where I calculate the Area of a triangle.
Problem:
The problem is the number appear as Arabic and I want it to be shown as a Hindi (Devanagari) font's number?
What I tried:
I have try more fonts same problem.
Related
I have a Lottie animation that I've put on a website. The spacing of the text is very strange. Looks good in the AE file but when on the web looks goofy. different spacing for different letters. I am dynamically changing the text based off of an input field, could that be part of the issue?
Thanks
sometimes § encode character display as small black square bracket but in inspect window it display as section symbol §.
Please find attached screen shot.
In my MVC web application, I am using kendo grid to display reports. Reports contains the paragraph text which may contains special characters. when I look into grid, it display this character as black square but when export to excel, it display as section character.
can any one suggest the reason for this?
So me and my friends play a game and they recently changed there images from white background and black letters to black background and colorful letters. and the old ocr that we was created years ago by someone is pretty useless now as the accuracy is very low if not 0% (it just took the old ocr ~250 attempts). So my question would i be able to to extract the text from the following picture
I have never used IronOCR and i tried using the default code to get text from image but the results were weird.
Thanks in advance!
You can try to segment the image first by color (a histogram analysis will tell you colors on the image). Then you can convert the images to b/w and run OCR. You'll get better accuracy.
We are currently doing out thesis work about OCR or optical character recognition. Just want to ask something about diving a single image into multiple images or templates.
What we are trying to achieve is that we want to segment or divide each characters (total of 16) from a single image into multiple (16) image, for further recognition. Below is the image of the proposed segmented characters.
Character Segmentation
The solution we thought was to find contours or outlines of each characters. From these contours, we would draw a square boundary around the characters to distinguish them from the background. This square boundaries will then be the basis of division into multiple images.
The question is how can we do that in terms of coding? Is that solution possible?
I have to recognize set of digits on something like scoreboard, calculator and similiar devices display.
I tried that image in most popular ocr's, but with no success.
How can i preprocess this image to get it work with ocr frameworks? How to get that digits from there?
First,Based on edge detection, determine the position of the digits. Then, convert the image to a two-value image (white foreground and black background). Last, put it to OCR...