segmentation of images with text

This is my code for targeting text in python

def showfig(image, ucmap):
    imgplot=plt.imshow(image, ucmap)
get_ipython().magic(u'matplotlib inline')

#L=img.shape[0]
#C=img.shape[1]

import numpy as np 
import matplotlib.pyplot as plt
from PIL import Image
import cv2

kernel=np.ones((15,10))
img = cv2.imread("texto.png",0)

plt.figure(figsize=(15,10))
showfig(img,"gray")  

def limiar (img):
    img_linear=img.copy()
    _,img_linear = cv2.threshold(img,121,255,cv2.THRESH_BINARY_INV)

    return img_linear

img = limiar(img)

plt.figure(figsize=(15,10))
showfig(img,"gray")

def dilatar (img,kernel,iDila):

    img_dilation=img.copy()
    img_dilation = cv2.dilate(img,kernel,iterations=iDila) 

    return (img_dilation)

img = dilatar(img,kernel,1)

plt.figure(figsize=(15,10))
showfig(img,"gray")

I need to separate letters, punctuations, words, paragraphs, and lines. How should I proceed, anyone know? By the array gave a strange value.