Extract each column as image from scanned pdf

I need to crop each column from scanned pdf. I tried lots of solution from here but none of them worked.

For example I have below image.

https://i.stack.imgur.com/YdPSG.jpg

I am using below script to remove borders because with borders getting each column is not easy for me.

import cv2SCALE = 4def show_scaled(name, img):    try:        h, w = img.shape    except ValueError:        h, w, _ = img.shape    cv2.imshow(name, cv2.resize(img, (w // SCALE, h // SCALE)))image = cv2.imread('3-1.png')gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)thresh = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU)[1]# Remove horizontalhorizontal_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (15, 1))detected_lines = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, horizontal_kernel, iterations=2)show_scaled("horizontal detected lines", detected_lines)cnts = cv2.findContours(detected_lines, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)cnts = cnts[0] if len(cnts) == 2 else cnts[1]for c in cnts:    cv2.drawContours(image, [c], -1, (255, 255, 255), 2)# Remove verticalvertical_kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (1, 15))detected_lines = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, vertical_kernel, iterations=2)show_scaled("vertical detected lines", detected_lines)cnts = cv2.findContours(detected_lines, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)cnts = cnts[0] if len(cnts) == 2 else cnts[1]for c in cnts:    cv2.drawContours(image, [c], -1, (255, 255, 255), 2)# show_scaled('thresh', thresh)cv2.imshow('image', image)cv2.imwrite("contours.png", image)cv2.waitKey()

Result is: https://i.stack.imgur.com/HDqt2.png

After removing borders I use below script to get each column.

import cv2SCALE = 4AREA_THRESHOLD = 427505.0 / 2def show_scaled(name, img):    try:        h, w = img.shape    except ValueError:        h, w, _ = img.shape    cv2.imshow(name, cv2.resize(img, (w // SCALE, h // SCALE)))def main():    base_img = cv2.imread("contours.png")    img = base_img.copy()    gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)    show_scaled("original", gray)    # black and white, and inverted, because    # white pixels are treated as objects in    # contour detection    thresholded = cv2.adaptiveThreshold(        gray, 255,        cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV,        25,        15    )    show_scaled('thresholded', thresholded)    # I use a kernel that is wide enough to connect characters    # but not text blocks, and tall enough to connect lines.    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (5, 110))    closing = cv2.morphologyEx(thresholded, cv2.MORPH_CLOSE, kernel)    contours, hierarchy = cv2.findContours(closing, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)    show_scaled("closing", closing)    for i in range(len(contours)):        contour = contours[i]        convex_contour = cv2.convexHull(contour)        area = cv2.contourArea(convex_contour)        if area > AREA_THRESHOLD:            cv2.drawContours(img, [convex_contour], -1, (255, 0, 0), 3)            [x, y, w, h] = cv2.boundingRect(contour)            cropped_image = base_img[y:y + h, x:x + w]            res = cv2.imwrite("/Users/safa.yildirim@propertyfinder.ae/Desktop/personal/neutech-image-processing""/cropped-images/column" + str(i) +".png", cropped_image)            print(res)    show_scaled("contours", img)    cv2.imwrite("/tmp/contours.png", img)    cv2.waitKey()if __name__ == '__main__':    main()

Result is: https://i.stack.imgur.com/R0xWt.jpg

Now there are two problem about what I did. First one is "KULLANMA" text at right upper corner should also removed. I cant basically crop image because it can be smaller or bigger so pixel values between that text and below text can be changed.

https://i.stack.imgur.com/aFkxb.png

Second in second script, opencv also draw contour for header section like in image below.

https://i.stack.imgur.com/W1GmA.png

How can I get only columns images and remove right upper text from image?