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https://github.com/yardstick17/image_text_reader

The module extracts text from image using the tesseract-OCR engine. Generally, text present in the images are blur or are of uneven sizes. The image is pre-processed for better comprehension by OCR. This module first makes bounding box for text in images and then normalizes it to 300 dpi, suitable for OCR engine to read.
https://github.com/yardstick17/image_text_reader

image-reader image-to-text ocr ocr-text-reader read-image tesseract-ocr

Last synced: 4 months ago
JSON representation

Host: GitHub
URL: https://github.com/yardstick17/image_text_reader
Owner: yardstick17
License: mit
Created: 2017-03-13T17:20:20.000Z (almost 8 years ago)
Default Branch: master
Last Pushed: 2019-04-03T12:22:37.000Z (almost 6 years ago)
Last Synced: 2024-08-01T13:32:12.935Z (7 months ago)
Topics: image-reader, image-to-text, ocr, ocr-text-reader, read-image, tesseract-ocr
Language: Python
Homepage:
Size: 6.31 MB
Stars: 146
Watchers: 13
Forks: 42
Open Issues: 5
Metadata Files:
- Readme: README.md
- License: LICENSE.txt

Awesome Lists containing this project

README

# image_text_reader
[![Gitter](https://badges.gitter.im/yardstick17/image_text_reader.svg)](https://gitter.im/yardstick17/image_text_reader?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge) [![Build Status](https://travis-ci.org/yardstick17/image_text_reader.svg?branch=master)](https://travis-ci.org/yardstick17/image_text_reader)

It's a very basic tool to read images , images formatted like a restaurant-menu.

### Tesseract-ocr
This tools need tesseract-ocr engine. Help yourself with this --
* https://github.com/tesseract-ocr/tesseract/wiki

#### Linux

Tesseract is available directly from many Linux distributions. The package is generally called 'tesseract' or 'tesseract-ocr' - search your distribution's repositories to find it. Thus you can install Tesseract 4.x and it's developer tools on Ubuntu 18.x bionic by simply running:
```bash
sudo apt install tesseract-ocr
sudo apt install libtesseract-dev

```
Refer [here](https://github.com/tesseract-ocr/tesseract/wiki) for more on installation on all other systems.

#### macOS

##### Homebrew

To install Tesseract run this command:

```bash
brew install tesseract
```

###### OCR reads the text extracted image from the full image. [Click here](https://github.com/yardstick17/menu_parser/blob/master/boxed_image.jpg)

## Command to use:

### Dockerized image reading
> docker run -it yardstick17/image-text-reader bash -c "PYTHONPATH='.' python3 read_image.py read_text_from_local_image -f images/sample_image.jpg"

### Read from url

> PYTHONPATH='.' python3 read_image.py read_text_from_image_url -u https://marketplace.canva.com/MACHUlPU93Q/1/0/thumbnail_large/canva-peach-green-leaves-garden-vegetarian-pizza-menu-MACHUlPU93Q.jpg

```bash
[2017-07-07 16:20:34,119] INFO : Downloading image from url: https://marketplace.canva.com/MACHUlPU93Q/1/0/thumbnail_large/canva-peach-green-leaves-garden-vegeta
[2017-07-07 16:20:35,997] INFO : Saving file: /var/folders/cz/n3vkz7x91qs06nmm9byxxgz00000gr/T/tmpienrxu2c
[2017-07-07 16:20:35,997] INFO : Processing image for text Extraction
[2017-07-07 16:20:36,308] INFO : Removing noise and smoothening image
[2017-07-07 16:20:36,431] INFO : Reading the text inside the contour plotted
```

### Read from local image
> PYTHONPATH='.' python3 read_image.py read_text_from_local_image -f images/sample_image.jpg
```bash
[2017-07-07 16:32:38,862] INFO : Processing image for text Extraction
[2017-07-07 16:32:39,232] INFO : Removing noise and smoothening image
[2017-07-07 16:32:39,442] INFO : Reading the text inside the contour plotted
```

### Deploy an api for reading text from image!
> PYTHONPATH='.' python3 api/app.py
```bash
[2017-07-07 16:49:57,818] INFO : * Running on http://0.0.0.0:6600/ (Press CTRL+C to quit)
[2017-07-07 16:49:57,820] INFO : * Restarting with stat
[2017-07-07 16:49:58,712] WARNING : * Debugger is active!
[2017-07-07 16:49:58,738] INFO : * Debugger pin code: 316-405-633
```

### Sample api deployed on my tiny server. Please be patient with them.
```bash
curl -X POST \
http://54.254.214.96/read_image_from_file/url \
-F url=https://africatalentbank.com/wp-content/uploads/2014/10/Menu.jpg
```

### Digital Menu
![Digital Image](images/digital_menu.jpg)

### Original Image
![Original Image](images/sample_image.jpg)