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How to clear all bordered text and get clear text?

I have a document image which have text inside rectangle, i need to clear read the text with tesseract, but the problem is, as long as border there, tesseract cant read it well.

boxed text

I use opencv with python, the result i need so in whole document image only show the text without box or border.

how to do it?

How to clear all bordered text and get clear text?

I have a document image which have text inside rectangle, i need to clear read the text with tesseract, but the problem is, as long as border there, tesseract cant read it well.

boxed text

I use opencv with python, the result i need so in whole document image only show the text without box or border.

how to do it?

-- EDIT

this is my code :

What this code do ?

find contour of outer box
crop 10% to inner, to remove outline border

the problem is mid line or devider still there, so i tried to hardcode crop with multiplied the hex.

from __future__ import print_function
import numpy as np
import argparse
import cv2

ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required=True, help="Path to the image")
args = vars(ap.parse_args())

image = cv2.imread(args["image"])
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (11, 11), 0)
edged = cv2.Canny(blurred, 30, 150)
(_, cnts, _) = cv2.findContours(edged.copy(),
                                cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

print("I Count {} in this image".format(len(cnts)))

coins = image.copy()

for (i, c) in enumerate(cnts) :
    (x,y,w,h) = cv2.boundingRect(c)

    print("Coin #{}".format(i+1))
    de = (w/h) + 1
    if i > 2 :
        for ii in range(0, de):
            print('Block #{}'.format(ii))
            garis = (h*10/100)
            y1 = y+garis
            y2 = y + h - garis
            x1 = x + garis
            x2 = x + w - garis
            somecoin = image[y1:y2, x1:x2]
            height, width, channels = somecoin.shape
            cv2.imshow("Box", somecoin[0:height, (height*ii):height+(height*ii)])
            cv2.waitKey(0)

this is the result and new sample test :

sample test

result :

image description

i wish opencv have a better solution for this case