python字符分割垂直投影法_opencv python 银行卡号垂直投影法字符分割
文章目录
前言
在opencv 和python 作为编程语言的基础上实现银行卡号的识别和分割
提示：以下是本篇文章正文内容，下面案例可供参考
一、银行卡号的识别
[银行卡号的识别所用到的一切都在这篇博客中](https://blog.csdn.net/qq_47566416/article/details/112547470)
二、银行卡号的分割
1.引入库
部分代码如下(示例)：
import cv2
import numpy as np
def image_process(file_path):
img = cv2.imread(file_path, 0)
blur = cv2.GaussianBlur(img, (3, 3), 0) #高斯模糊
ret, binary = cv2.threshold(blur, 50, 255, cv2.THRESH_BINARY) #二值化
kernel = np.ones((1, 50), np.uint8)
erosion = cv2.erode(binary, kernel) # 膨胀
dilation = cv2.dilate(erosion, kernel) # 腐蚀
contours, hierarchy = cv2.findContours(dilation, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
sp = dilation.shape
x, y, w, h = 0, 0, 0, 0
for i in range(0, len(contours)):
x, y, w, h = cv2.boundingRect(contours[i])
if h > sp[0]*0.05 and w > sp[1]*0.5 and y > sp[0]*0.2 and y < sp[0]*0.8 and w/h > 5:
img = binary[y:y + h, x:x + w]
break
return num_split(img)
def num_split(img):
height, width = img.shape
v = [0] * width
z = [0] * height
a = 0
# 垂直投影：统计并存储每一列的黑点数
for x in range(0, width):
for y in range(0, height):
if img[y, x] == 255:
continue
else:
a = a + 1
v[x] = a
a = 0
# 创建空白图片，绘制垂直投影图
l = len(v)
emptyImage = np.full((height, width), 255, dtype=np.uint8)
for x in range(0, width):
for y in range(0, v[x]):
emptyImage[y, x] = 0
#分割字符
Position = []
Wstart = 0
Wend = 0
W_Start = 0
W_End = 0
v[0], v[len(v)-1] = 0, 0
for j in range(len(v)):
if v[j] > 0 and Wstart == 0:
W_Start = j
Wstart = 1
Wend = 0
if v[j] <= 0 and Wstart == 1:
W_End = j
Wstart = 0
Wend = 1
if Wend == 1:
Position.append([W_Start, 0, W_End, height])
Wend = 0
data = []
for m in range(len(Position)):
temp_img = img[Position[m][1]:Position[m][3], Position[m][0]:Position[m][2]]
h1, w1 = temp_img.shape
if w1 > h1:
return []
temp_img = cv2.resize(temp_img, (16, 16))
h0, w0 = temp_img.shape
temp_data = []
for hx in range(h0):
for wx in range(w0):
temp_data.append(float(temp_img[hx, wx]))
data.append(temp_data)
return data
2.读入数据
代码如下(示例)：
银行卡照片来源于网上
3.代码实现结果
总结
垂直投影法就是利用二值化后的照片的黑白间隔来分离出字符。
鸣谢
https://blog.csdn.net/weixin_43988887/article/details/90214840
标签：temp,img,width,python,cv2,银行卡,投影,opencv,range
来源： https://blog.csdn.net/qq_47566416/article/details/112689480
本文来自互联网用户投稿，文章观点仅代表作者本人，不代表本站立场，不承担相关法律责任。如若转载，请注明出处。 如若内容造成侵权/违法违规/事实不符，请点击【内容举报】进行投诉反馈！