環境

python 3.6
python-opencv 3.4.0

思路

對圖片進行水平方向投影，得到每一行文字的起止線
對每一行文字進行豎直方向投影，若有連續的畫素滿足條件，則為一個字，進行分割

程式碼

import cv2
import numpy as np

path = 'd:\\testdata\\test\\bin1.png'
root = 'd:\\testdata\\test\\'
dsize = 28 #歸一化處理的影象大小
img = cv2.imread(path)
data = np.array(img)
len_x = data.shape[0] 
len_y = data.shape[1
 
]
min_val = 10 #設定最小的文字畫素高度，防止切分噪音字元

start_i = -1
end_i = -1
rowPairs = [] #存放每行的起止座標

#行分割
for i in range(len_x):
    if(not data[i].all() and start_i < 0): 
        start_i = i
    elif(not data[i].all()):
        end_i = i
    elif (data[i].all() and start_i >= 0):
        #print(end_i - start_i)
 

        if(end_i - start_i >= min_val):
            rowPairs.append((start_i, end_i))
        start_i, end_i = -1, -1

#print(rowPairs)

#列分割
start_j = -1
end_j = -1
min_val_word = 5  #最小文字畫素長度
number = 0 #分割後儲存編號
for start, end in rowPairs:
    for j in range(len_y):
        if(not data[start: end
 
, j].all() and start_j < 0):
            start_j = j
        elif(not data[start: end, j].all()):
             end_j = j
        elif(data[start: end, j].all() and start_j >= 0):
            if(end_j - start_j >= min_val_word):
                #print(end_j - start_j)
                tmp = data[start:end, start_j: end_j]
                im2save = cv2.resize(tmp, (dsize,dsize)) #歸一化處理
                cv2.imwrite(root + '%d.png' % number, im2save) 
                number += 1
                #print("%d  pic" % number)
            start_j, end_j = -1, -1

結果

分割前：

分割後：

總攬：

單例：

效果還行