I’m looking for ways to improve Google Vision OCR accuracy for handwritten texts. It’s not that bad overall but I want it to be nearly perfect. So I’ve recently realized that, OCR is better on vector images rather than scan of texts. For example if I write anything on Paint, it detects without a single ..
I am looking to extract text from this image but this image has a lot of flaws. I have tried Gaussian Blur to remove noises, resizing & cropping the image, histogram equalization, adaptive thresholding but pytesseract is unable to provide high accuracy (<20%) with OCR. The original image is this: The following code is my ..
These are the 3 images in question I’ve tried using k-means, but it fails. Any ideas on how I can solve this? Solution has to be somewhat general, so I can’t just manually select the desired colors. Source: Python..
I’m trying to solve math captchas produced by an website using pytesseract OCR, but I am having trouble removing the circles between characters. Here are some examples of the captchas: https://imgur.com/a/sAy7M6v The code is as follows: import matplotlib.pyplot as plt import numpy as np import cv2 import os import pytesseract pytesseract.pytesseract.tesseract_cmd = r’C:UsersXXXXXXXXXXXXXXXAppDataLocalTesseract-OCRtesseract.exe’ def display_img(image): ..
i have a problem with the window that contains buttons. when i select a text from an image to execute my ocr function, i can’t click on the button OCR text to call that function. here’s part of my code: def DrawRect(): while True: key = cv2.waitKey(20) if key == ord("e"): # exit window and ..
I went to read up the syntax of cv2.imread() method and it says that specifying the flag=0 will load the image in grayscale. The original image is this: Original Image And I executed the following code with the following libs, no errors. import cv2 import pytesseract import matplotlib import image img=cv2.imread("C:/Users/HP_Demo/Desktop/cv2/sample02.png",0) plt.imshow(img) plt.show() The result ..
I’m looking to find a specific line of text within a application running on windows. http://prntscr.com/vnzkj5 this is a link to what I want to find… I want it to find that text, and then take a screenshot of the screen when it finds it. Source: Python..
I have a pdf file, and I want to convert it into HTML or text. First, try: import PyPDF2 pdfFileObj = open(‘OR.pdf’, ‘rb’) pdfReader = PyPDF2.PdfFileReader(pdfFileObj) print(pdfReader.numPages) pageObj = pdfReader.getPage(0) print(pageObj.extractText()) pdfFileObj.close() This code its not working for my file, it cannot regognize text, but it works for random sample file from the internet. Second ..
Search the existing keywords in the picture to find out the position of keywords in the picture by python Source: Python-3x..
I am using Pytesseract (version 0.3.6) and have Tessreact (version 5.0.0-alpha) installed on my Windows10 System. I also use OpenCV (version 4.4.0). I am doing OCR on images working on Python 3.7.6. The methods ‘image_to_string’ and ‘image_to_data’ from Pytesseract work without a problem, but when I try to use the method ‘image_to_boxes’ to find the ..