How to Apply OCR and Extract Text for the Image In Korean Language

Question

I need to implement an accurate text detection algorithm for extracting text from an image. Currently, I am using EasyOCR, but the results are not satisfactory. For instance, when processing the image, the expected output is

부동산 매매 계약서

but the code produces

부 동 산 떼 더 겨 약 서

Therefore, I need to explore alternative methods to improve the accuracy of text recognition.

Is it possible to increase the resolution and apply EasyOCR? Can anyone solve this problem?

!pip install easyocr
import cv2
import easyocr
import numpy as np
def extract_text_from_image(image):
    # Read the image
    #image = cv2.imread(image_path)

    # Convert the image to grayscale
    gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

    # Apply adaptive thresholding to create a binary image
    _, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)

    # Find contours in the binary image
    contours, _ = cv2.findContours(binary, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

    # Find the contour with the maximum area (foreground)
    max_contour = max(contours, key=cv2.contourArea)

    # Create a mask for the foreground contour
    mask = np.zeros_like(binary)
    cv2.drawContours(mask, [max_contour], 0, 255, -1)

    # Apply the mask to the original image
    preprocessed_image = cv2.bitwise_and(image, image, mask=mask)

    # Initialize the EasyOCR reader
    reader = easyocr.Reader(['en','ko'])

    # Convert the preprocessed image to grayscale
    preprocessed_gray = cv2.cvtColor(preprocessed_image, cv2.COLOR_BGR2GRAY)

    # Perform OCR on the preprocessed image
    results = reader.readtext(preprocessed_gray)

    # Concatenate the extracted text into a single line
    extracted_text = ''
    for result in results:
        extracted_text += result[1] + ' '

    return extracted_text.strip()



img = cv2.imread(file_path)
text = extract_text_from_image(img)