Optical Character Recognition is mechanical or electronic translation of images of handwritten, typewritten or printed text into text data (a sequence of codes used to represent characters in the computer).

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Is this image good enough for OCR?

Hello I'm trying to ocr on a special image. I've done adaptive threshold , polartocartesian transformation. this is my original image this is adaptive threshold this is polartocartesian ...
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32 views

Re sizing and thresholding small font scanned Arabic words

I am working on an arabic OCR for printed scanned documents ... Some of the scanned documents may written with font size of height 8 which is quite small ... I want to resize the height to 60 pixels ...
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59 views

Feature Detection on a Circular Metal Surface for Character Recognition

Hello I'm trying to recognize characters on the circular metal surface. Without any preprocessing I could match cropped features with original image. I've actually cropped 2 characters together to ...
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2answers
55 views

Line tracing folowing a path of an almost connected components

say we have a binary image like the one in below i would like to extract each black line, even if it's not almost connected i have marked here in red, example of lines that correspond to those to be ...
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167 views

Suggested Preprocessing methods for OCR on Circular Images

Hello this is my sample image I am going to do real time character detection on images like that. I've tried SURF, SIFT, MSER and template matching on original image without any preprocessing. I can ...
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3answers
93 views

Using neural networks for rotation invariant OCR

I have video with text which can be rotated in any direction. If I trained a neural network on images of each letter at all possible degrees of rotation, would it be possible to classify the ...
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43 views

what are best features [closed]

I am doing OCR for Kannada and English. What are the best features in image? Please also tell me some tools to perform OCR before implementing it as code (like Rapiedminer for machine learning).
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3k views

Licence plate detection with different backgrounds

I just studied the Algorithm of ANPR (Automatic Number Plate Recognition) from the chp 5 of book Packtpub.Mastering.OpenCV.with.Practical.Computer.Vision.Projects in which they detect the vehicle ...
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64 views

Match (OCR?) a digital image of a product label to similar

Excuse my ignorance... Given a digital image of a label I'd like to Requirement: Match it to the closest pre-existing image in a datastore Optional: OCR it, if possible (only necessary if step 1 ...
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176 views

Smoothing “font characters” outlines in bitmap image

Adobe Acrobat has this as a feature called ClearScan. While doing OCR it allows image enhancement, by smoothing irregularities on font outlines. For example, this source: turns to this: Are ...
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139 views

Recognizing hand-written archaeological signs

I have 75 images of handwritten signs from which I extracted 7 Hu moments and solidity features. How can I find similarities among them to train a classifier and predict the value? I thought SVM was a ...
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1answer
668 views

What is the algorithm behind OCR?

I'm curious about the algorithm and basic principles behind Optical Character Recognition. Can anyone explain: The most basic OCR algorithm that can be fairly easily implemented from scratch? Or ...
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1k views

Nutrition facts label OCR

My team is working on a program that can read nutrition facts labels using OCR, much like NutriScanner (though by its reviews it doesn't seem like it works particularly well). I've seen other ...
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310 views

Filtering kinda “half-toned” image for OCR processing

I have a scanned PDF material to which I want to add hidden text layer, so I could index the document. I used ghostscript black and white tiff output device (tiffg4) to extract pages as tiff images, ...
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4k views

Text recognition for Android app

I´d like to use some OCR algorithm (Image to Text) into an Android app (Java). I have previously used several algorithms but for a PC (Matlab) app. Which library or algorithm should I use? ...