lohani.blogg.se - Text extractor api camera

#TEXT EXTRACTOR API CAMERA INSTALL#

In this function, we’ll read the image using cv2.imread.

Let’s jump to the extract function which takes the path of the image as a parameter.

Tkinter provides GUI functionalities: open an image dialog box so user can upload an image.

Provide the location of the tesseract.exe file.

Import all the required libraries (opencv, tkinter, tesseract).

X,y,w,h = int(text),int(text),int(text),int(text) Texts = pytesseract.image_to_data(Sample_img)įor cnt,text in enumerate(texts.splitlines()): Sample_img = cv2.cvtColor(Sample_img,cv2.COLOR_BGR2RGB) Image_ht,Image_wd,Image_thickness = Sample_img.shape Root.title('TechVidvan Text from image project') _cmd = 'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract.exe'

#TEXT EXTRACTOR API CAMERA INSTALL#

To install the libraries use pip installer from the command prompt / terminal: Pip install opencv-pythonĬreate main.py file and add the following code Let’s start the text detection and extraction project development Install required libraries To implement this project you should have basic knowledge of:īefore proceeding ahead, please download the source code of Text Extraction Project: Extract Text from Image with Python. As mentioned earlier it is open source so it is free to use.

It efficiently reads text from images and is very easy to use. It is an open-source engine for optical character recognition (OCR). Keeping you updated with latest technology trends, Join TechVidvan on Telegram What is Tesseract?