tesseract | [WIP]

 by   niltok Kotlin Version: Current License: No License

kandi X-RAY | tesseract Summary

kandi X-RAY | tesseract Summary

tesseract is a Kotlin library. tesseract has no bugs and it has low support. However tesseract has 1 vulnerabilities. You can download it from GitHub.

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            kandi-support Support

              tesseract has a low active ecosystem.
              It has 33 star(s) with 3 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 0 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tesseract is current.

            kandi-Quality Quality

              tesseract has 0 bugs and 0 code smells.

            kandi-Security Security

              tesseract has 1 vulnerability issues reported (0 critical, 0 high, 1 medium, 0 low).
              tesseract code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              tesseract does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              tesseract releases are not available. You will need to build from source code and install.
              It has 2009 lines of code, 102 functions and 23 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            tesseract Key Features

            No Key Features are available at this moment for tesseract.

            tesseract Examples and Code Snippets

            No Code Snippets are available at this moment for tesseract.

            Community Discussions

            QUESTION

            Tesseract very low detection quality
            Asked 2022-Apr-17 at 21:56

            Trying to read some data with tesseract but it's already strugling with date and time, so I created a minimal test case.

            code:

            ...

            ANSWER

            Answered 2022-Apr-17 at 21:56

            It looks like the main issue is setting bytes_per_pixel to 3 instead of 1 in api->SetImage.

            The image after cv::adaptiveThreshold is 1 color channel (1 byte per pixel) and not 3.

            Replace api->SetImage(image_final.data, image_final.cols, image_final.rows, 3, image_final.step); with:

            Source https://stackoverflow.com/questions/71905201

            QUESTION

            Pytesseract not working for low resolution images
            Asked 2022-Feb-18 at 11:41

            I am trying to read numbers from an image with 20x10 resolution. I know this question might be a duplicate. I've gone through most of the questions here on stack overflow but none of the answers seems to work for me. Here is the image I am trying to read text from:

            Here is the my current code:

            ...

            ANSWER

            Answered 2022-Feb-18 at 11:41

            Actually, I have to say that tesseract is very touchy to play with. According to my experiences, I can easily say that if you -as a human- are not able to read a text clearly, you shouldn't expect tesseract to read it either.

            First of all; to get better results, it is a must to make a good preprocessing. I strongly recommend anyone dealing with tesseract to check their documentation about Improving the quality.

            In your case, problem is about the resolution. Is low resolution a reason for tesseract not to read a text ? Answer is absolutely yes. Documentation says:

            Tesseract works best on images which have a DPI of at least 300 dpi, so it may be beneficial to resize images.

            In here DPI means dots per inch and its suggested lower limit is 300 DPI which is higher than your image. When you resize the image to a higher resolution, for example 10 times bigger:

            Now even if DPI satisfies, now you are losing the accuracy and getting noises.

            Note: It also doesn't mean that higher resolution means better results. Please check here.

            Note: If you really need to continue on these types of images, you may need to have a look at here. First you get higher resolution and then deblurring operation, this may help to figure it out.

            Source https://stackoverflow.com/questions/69716295

            QUESTION

            Error Could not load file or assembly Tesseract on Ubuntu using .Net Core 3.1
            Asked 2022-Feb-12 at 00:01

            I am using Tesseract version 4.1.1 on dotnetcore 3.1 project which works perfectly on windows but when I publish it on ubuntu it throws the following error on this line

            ...

            ANSWER

            Answered 2021-Nov-03 at 17:04

            So here is how I fixed it

            It turned out that system didnt display the correct error message because it couldnt use the library System.Drawing.Common which is not supported by Linux.

            Fixed that by using libgdiplux the Linux implementation of System.Drawing.Common

            Source https://stackoverflow.com/questions/69813484

            QUESTION

            ocrmypdf - could not find source-pdf?
            Asked 2022-Jan-15 at 19:26

            i would like to use ocrmypdf to convert some pdf-file from a picture to a readable pdf -

            Tried it with the following simple code: (the invoice.pdf is of course available in the same path as the python-script and the output.pdf should be generated)

            ...

            ANSWER

            Answered 2022-Jan-15 at 19:26

            Sometimes the first error message may be misleading without a clear cause

            In this case the primary message "The system cannot find the specified file"

            Will lead a user to concentrate on why a filename is not correct, as in this case.

            What the error should report is that a required file in the dependencies was not found. which can be caused by one or more Tesseract or related Leptonica / Language data files not in the correct location either due to no install or poor install.

            It transpired that installing tesseract on windows from https://github.com/UB-Mannheim/tesseract/wiki "the script now works fine"

            Note a missing dependency was the cause of a similar message here Import ocrmypdf in Visual Stdio Code in Python

            Source https://stackoverflow.com/questions/70717279

            QUESTION

            How can I maximise the reliability of tesseract ocr for text recognition as much as possible?
            Asked 2022-Jan-03 at 23:33

            I am attempting to collect data from a shop in a game ( starbase ) in order to feed the data to a website in order to be able to display them as a candle stick chart

            So far I have started using Tesseract OCR 5.0.0 and I have been running into issues as I cannot get the values reliably

            I have seen that the images can be pre-processed in order to increase the reliability but I have run into a bottleneck as I am not familiar enough with Tesseract and OpenCV in order to know what to do more

            Please note that since this is an in-game UI the images are going to be very constant as there is no colour variations / light changes / font size changes / ... I technically only need to get it to work once and that's it

            Here are the steps I have taken so far and the results :

            I have started by getting a screen of only the part of the UI I am interested in in order to remove as much clutter as possible

            I have then set a threshold as shown here ( I will also be using the cropping part when doing the automation but I am not there yet ), set the language to English and the psm argument to 6 witch gives me the following code :

            ...

            ANSWER

            Answered 2022-Jan-03 at 23:02

            Pytesseract, on its own, doesn't handle table detection very well - the table format isn't retained in the output, which can make it difficult to parse, as seen in your output.

            So splitting the table into distinct columns, performing OCR on each, and then rejoining the columns will help. This is slower, but it is more accurate.

            Dilation can help, which adds white pixels to existing white areas (using the threshold and image you currently have). This expands the narrow areas of the numbers.

            In my experience, to improve the accuracy generally means splitting the table up into different sections, as well as testing different thresholds and dilation settings.

            Source https://stackoverflow.com/questions/70570743

            QUESTION

            Tesseract OCR gives really bad output even with typed text
            Asked 2021-Dec-20 at 05:05

            I've been trying to get tesseract OCR to extract some digits from a pre-cropped image and it's not working well at all even though the images are fairly clear. I've tried looking around for solutions but all the other questions I've seen on here involve a problem with cropping or skewed text.

            Here's an example of my code which tries to read the image and output to the command line.

            ...

            ANSWER

            Answered 2021-Dec-20 at 03:04

            I've found a decent workaround. First off I've made the image larger. More area for tesseract to work with helped it a lot. Second, to get rid of non-digit outputs, I've used the following config on the image to string function:

            Source https://stackoverflow.com/questions/70410527

            QUESTION

            Stop TensorFlow from printing warning message
            Asked 2021-Dec-09 at 15:47

            I am working on a Kaggle notebook and whenever I run a cell that references the TensorFlow module at all, it prints out a huge warning about some sort of settings but still works. I looked up how to suppress warnings from TensorFlow, and everything I found said to do the following:

            ...

            ANSWER

            Answered 2021-Dec-09 at 15:47

            So I managed to fix the problem with the following line:

            Source https://stackoverflow.com/questions/70250304

            QUESTION

            Pytesseract image to string error messages in Colab
            Asked 2021-Nov-23 at 15:35

            In my Colab installed and imported pytesseract as:

            ...

            ANSWER

            Answered 2021-Nov-23 at 15:35

            Just be sure you've installed the underlying library the Python module is taking advantage of, for example:

            Source https://stackoverflow.com/questions/70082929

            QUESTION

            tesseract detects only 4 words from image
            Asked 2021-Nov-13 at 17:09

            I have very simple python code:

            ...

            ANSWER

            Answered 2021-Nov-13 at 17:09

            You'll have better OCR results if you improve the quality of the image you are giving Tesseract.

            While tesseract version 3.05 (and older) handle inverted image (dark background and light text) without problem, for 4.x version use dark text on light background.

            Convert from BGR to HLS to later remove background colors from the numbers in the top half of the image. Then, create a "blue" mask with cv2.inRange and replace anything that's not "blue" with the color white.

            Source https://stackoverflow.com/questions/69953632

            QUESTION

            How to install Tesseract OCR on Databricks
            Asked 2021-Nov-02 at 14:08

            I am trying to run the following script on a databrick python notebook:

            ...

            ANSWER

            Answered 2021-Nov-02 at 14:08

            You can use %sh in a separate cell to execute the shell commands on the driver node. To install tesseract, you can do:

            Source https://stackoverflow.com/questions/69807660

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install tesseract

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone niltok/tesseract

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