[FIXED] How do I get Tesseract to properly detect text in an image?

Issue

I have written a simple python script that returns the text from an image.

import cv2
import pytesseract
import numpy
from PIL import Image

def getText(img): # accept PIL.Image
    cvimg = numpy.array(img) # convert to openCV
    greyscale = cv2.cvtColor(screen, cv2.COLOR_BGR2GRAY) # make greyscale
    textFromImg = pytesseract.image_to_string(screenGR) # get text
    
    return textFromImg # return text

I've tested my code on this image but the output is an empty string.

Why does tesseract not work properly with certain images and how can I fix this?

Solution

Image quality and size is important. See also what you can do with the pagesegmentation (-psm 1-13 or here):

import cv2
import pytesseract

def getText(img): 
    # First step prepare image
    image = cv2.imread(img, cv2.IMREAD_UNCHANGED)
    grayImage = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
    # B&W image is best
    (thresh, blackAndWhiteImage) = cv2.threshold(grayImage, 170, 255, cv2.THRESH_BINARY) 
    # focus on text area
    cropped_image = blackAndWhiteImage[59:96, 314:560] # img[y:y+h, x:x+w]
    # resize the character if necessary
    scale_percent = 100 # percent of original size
    width = int(cropped_image.shape[1] * scale_percent / 100)
    height = int(cropped_image.shape[0] * scale_percent / 100)
    dim = (width, height)
    resized = cv2.resize(cropped_image, dim, interpolation = cv2.INTER_AREA)
    # Second ocr the text
    custom_config = r'--psm 3 --oem 3  -l eng'
    textFromImg = pytesseract.image_to_string(resized, config=custom_config)
    # Show result of image transformation
    cv2.imshow("Black & White", resized)
    cv2.waitKey(1200)
    cv2.destroyAllWindows()
    return textFromImg
         
if __name__ == '__main__':
    ocr_text = getText("sign.png")
    print(ocr_text)

Output:

SPIKE PLANTED

Answered By - Hermann12