Questions tagged [ocr]

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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Detect GUI Buttons in every application window with python

I want to detect every buttons in every application windows. For example, in explorer window, I want to detect every Tags, folders, files and Buttons like "page back", "page forward&...
roy's user avatar
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Where to find an implementation of the Structural Symmetry of Strokes (SSP) algorithm for image binarization?

I want to OCR photos of pages of printed text. Nothing too complicated but the images were taken with smartphone cameras, the lighting is suboptimal and sometimes the images were photocopied before. ...
Heinrich Ulbricht's user avatar
2 votes
1 answer
284 views

Licence plate enhancement

Is it possible to enhance the image below and make it more readable? I have tried apply binarization but there is some kind of shadow. So I have tried to convert image to gray scale and then ...
Krivers's user avatar
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What is the HOMING operator?

I was reading "Optical Recognition Systems" book and in chapter 3.3.2.3 where methods for full genetic programming are described, a paper is describing an ADF (automatically defined functions) like ...
KababChi's user avatar
1 vote
1 answer
67 views

What principles to use, in order to create field that will be read by OCR?

I currently have an invoice, where some numbers are written by hand, and I would need to read them automatically. My past experience is that people who write numbers will them write in so many ...
Igor 's user avatar
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2 votes
1 answer
91 views

How to Clean Black and White Images Which Are Results of Edge Detection

I want to extract text from some images with messy backgrounds. First step was switching to gray scale, applying an edge detection algorithm, and then cleaning up a little bit. Here's an example of ...
Robin's user avatar
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2 answers
321 views

improving pre-processing (noise removal) orange seven segment display for OCR reading

About this project: Older images have the date they where taken placed on the image, in the bottom left hand corner. The goal is to extract this date and put it in the EXIF data of the scanned photo. ...
Simon Terhaar's user avatar
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181 views

Improving credit card like image scan for OCR

OCR works best for black on white or binary images, where letters have sharp contours, no noise, and solid filling, i.e. they are nothing like this: For the curious it's a part of a document number ...
Rajish's user avatar
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3k views

How to recognize speech bubbles in comic strips (Ideally OpenCV)

I need to recognize speech bubbles to send to OCR and also to know where they are in the strip. How could I do this with OpenCV? I'm using OpenCV 2 and Python 3.6
Petruza's user avatar
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Techniques for recognizing white rectangular labels in these pictures? (Ideally OpenCV)

I need to recognize these two types of labels. zBar does recognize some of the barcodes sometimes, but I'd need to catch the ones that it doesn't and detect the label, so I can try and straighten up ...
Petruza's user avatar
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Any idea what's the OCR tool behind `myfonts.com/WhatTheFont` font recognizer? [closed]

I went to myfonts.com/WhatTheFont to get the font from a text to train tesseract. I realized that the font recognizer did actually better OCR than when I used ...
Petruza's user avatar
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Pattern matching methods: Based on Area and Based on features

Good morning, I'm new to image processing and I'm currently working on a project for pattern matching and OCR more specifically. In the state of art I've found the matching process can be classified ...
Natalia's user avatar
-1 votes
2 answers
2k views

Segmentation of warped text lines

I am trying to segment warped text lines found in photos taken from a page of a book (from the camera of a smartphone). This is meant as a preprocessing step before running OCR on them. I have found ...
John's user avatar
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2 votes
1 answer
2k views

Binarization of image for varying background and foreground colors for OCR

I am trying to develop an automated OCR system for images obtained from the internet. The images mostly consist of computer generated text imposed on a background, so the OCR should produce near ...
ntrstd11's user avatar
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1 answer
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Can I segment characters from this image with CSV?

I am trying to segment my characters on this image with using column sum vector. This method actually works on the paper I've read about license plate recognition. it looks useful for my images ...
Anar Bayramov's user avatar
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1 answer
302 views

Generic text recognition

OCR is a quite an old subject in Image Processing & Vision. However, the most literature that I had come across 1, 2, 3 shows various matured techniques which I am sure will give some good results ...
Dipan Mehta's user avatar
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3 votes
1 answer
482 views

Sharpen Defocused Image (Deconvolution / Image Restoration)

Using OCR, I want to extract text from product packages using Google Glass. However, because of the fixed focus of the camera the package pictures are blurred. Is there a way to sharpen the image? ...
Marius Herzog's user avatar
2 votes
2 answers
1k views

Compare feature vectors of an image in MATLAB

I am working on OCR. I have extracted features of 26 alphabets, and I want to compare them with an experimental character feature. I have tried using Euclidean distance and correlation functions, but ...
SKK's user avatar
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1 answer
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What preprocessing technique can help me to filter the background text noises using matlab...the image is shown below?

Can anyone help me to improve the degradation of the following image....i am working on OCR system in Amharic language and what is the best image filtering technique that can help me to separate text ...
Berhanu sahle's user avatar
0 votes
4 answers
366 views

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 ...
Anar Bayramov's user avatar
1 vote
1 answer
142 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 ...
Ibrahim Amer's user avatar
4 votes
1 answer
840 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 ...
Anar Bayramov's user avatar
3 votes
2 answers
734 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 ...
Brain Marker's user avatar
8 votes
1 answer
1k 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 ...
Anar Bayramov's user avatar
2 votes
3 answers
2k 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 ...
Jack Simpson's user avatar
-1 votes
1 answer
73 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).
Madan Ram's user avatar
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4 votes
2 answers
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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 ...
ARG's user avatar
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3 votes
1 answer
179 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 ...
Meltemi's user avatar
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3 votes
1 answer
652 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 there ...
zetah's user avatar
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3 votes
1 answer
184 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 ...
postgres's user avatar
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4 votes
2 answers
411 views

Document image vanishing point detection and evaluation

It is a natural idea to substitute our scanner with mobile phone, and perform OCR with the phone at the same time. If this can come true, two problems must be tackled: one is related to document image ...
feelfree's user avatar
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2 votes
1 answer
2k 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 ...
Geerten's user avatar
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6 votes
1 answer
7k 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 ...
Ian Kim's user avatar
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10 votes
2 answers
836 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, ...
zetah's user avatar
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5 votes
1 answer
8k 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? ...
Luis Andrés García's user avatar