Qfyilyi

I am trying to put bounding boxes on each word which are there in a document. I have succeeded in putting bounding boxes on more or less each letter, but am unable to put bounding boxes on each word. I am using the code below for the same

im_ns = cv.imread('image.jpg')

gray = cv.cvtColor(im_ns,cv.COLOR_BGR2GRAY)

blurred_g = cv.GaussianBlur(gray,(11,11),0)

ret, th1 = cv.threshold(blurred_g,127,255,cv.THRESH_BINARY)

th2 = cv.adaptiveThreshold(blurred_g,255,cv.ADAPTIVE_THRESH_MEAN_C,cv.THRESH_BINARY,11,2)

th3 = cv.adaptiveThreshold(blurred_g,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C,cv.THRESH_BINARY,11,2)

th3_1 = cv.adaptiveThreshold(th3,255,cv.ADAPTIVE_THRESH_GAUSSIAN_C,cv.THRESH_BINARY,11,2)

plt.figure(figsize=(30,25))

plt.imshow(th3_1)

th3_er = cv.erode(th3_1,None,iterations=1)

th3_di = cv.dilate(th3_er,None,iterations=1)

labels = measure.label(th3_di1, neighbors=8, background=255)

mask = np.zeros(th3_di1.shape, dtype="uint8")

for lab in np.unique(labels):

    if lab == 0:

        continue



    labelMask = np.zeros(th3_di.shape, dtype="uint8")

    labelMask[labels == lab] = 255

    numPixels = cv.countNonZero(labelMask)



    if numPixels > 13:

        mask = cv.add(mask, labelMask)



cnts = cv.findContours(mask.copy(), cv.RETR_EXTERNAL,cv.CHAIN_APPROX_SIMPLE)

cnts = cnts[0] if imutils.is_cv2() else cnts[1]

cnts = contours.sort_contours(cnts)[0]



t = th3_di.copy()

for (i, c) in enumerate(cnts):

    (x,y,w,h) = cv.boundingRect(c)

    cv.rectangle(t,(x,y),(x+w,y+h),(0,255),2)



cv.imshow("Image", t)

cv.waitKey(10000)

cv.destroyAllWindows()

The output of the above code can be seen in the link below