一厌杜、環(huán)境配置

1喘落、需要 pillow 和 pytesseract 這兩個(gè)庫瘪板，pip install 安裝就好了。

pip install pillow -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

pip install pytesseract -i http://pypi.douban.com/simple --trusted-host pypi.douban.com

2妄迁、安裝好Tesseract-OCR.exe

3、pytesseract 庫的配置：搜索找到pytesseract.py，打開該.py文件嗓化，找到 tesseract_cmd，改變它的值為剛才安裝 tesseract.exe 的路徑谬哀。

二刺覆、驗(yàn)證碼識(shí)別

識(shí)別驗(yàn)證碼，需要先對(duì)圖像進(jìn)行預(yù)處理玻粪，去除會(huì)影響識(shí)別準(zhǔn)確度的線條或噪點(diǎn)隅津，提高識(shí)別準(zhǔn)確度。

實(shí)例1

import cv2 ascv

importpytesseract

from PIL importImage

def recognize_text(image):

??? # 邊緣保留濾波? 去噪

??? dst= cv.pyrMeanShiftFiltering(image, sp=10, sr=150)

??? # 灰度圖像

??? gray= cv.cvtColor(dst, cv.COLOR_BGR2GRAY)

??? # 二值化

??? ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)

??? # 形態(tài)學(xué)操作?? 腐蝕? 膨脹

??? erode= cv.erode(binary, None, iterations=2)

??? dilate= cv.dilate(erode, None, iterations=1)

??? cv.imshow('dilate', dilate)

??? # 邏輯運(yùn)算? 讓背景為白色? 字體為黑? 便于識(shí)別

??? cv.bitwise_not(dilate, dilate)

??? cv.imshow('binary-image', dilate)

??? # 識(shí)別

??? test_message= Image.fromarray(dilate)

??? text= pytesseract.image_to_string(test_message)

??? print(f'識(shí)別結(jié)果：{text}')

src = cv.imread(r'./test/044.png')

cv.imshow('input image', src)

recognize_text(src)

cv.waitKey(0)

cv.destroyAllWindows()

運(yùn)行效果如下：

識(shí)別結(jié)果：3n3D

Process finished with exit code 0

實(shí)例2

import cv2 ascv

importpytesseract

from PIL importImage

def recognize_text(image):

??? # 邊緣保留濾波? 去噪

??? blur=cv.pyrMeanShiftFiltering(image, sp=8, sr=60)

??? cv.imshow('dst', blur)

? ??# 灰度圖像

??? gray= cv.cvtColor(blur, cv.COLOR_BGR2GRAY)

??? # 二值化

??? ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)

??? print(f'二值化自適應(yīng)閾值：{ret}')

??? cv.imshow('binary', binary)

??? # 形態(tài)學(xué)操作? 獲取結(jié)構(gòu)元素? 開操作

??? kernel= cv.getStructuringElement(cv.MORPH_RECT, (3, 2))

??? bin1= cv.morphologyEx(binary, cv.MORPH_OPEN, kernel)

??? cv.imshow('bin1', bin1)

??? kernel= cv.getStructuringElement(cv.MORPH_OPEN, (2, 3))

??? bin2= cv.morphologyEx(bin1, cv.MORPH_OPEN, kernel)

??? cv.imshow('bin2', bin2)

??? # 邏輯運(yùn)算? 讓背景為白色? 字體為黑? 便于識(shí)別

??? cv.bitwise_not(bin2, bin2)

??? cv.imshow('binary-image', bin2)

??? # 識(shí)別

??? test_message= Image.fromarray(bin2)

??? text= pytesseract.image_to_string(test_message)

??? print(f'識(shí)別結(jié)果：{text}')

src = cv.imread(r'./test/045.png')

cv.imshow('input image', src)

recognize_text(src)

cv.waitKey(0)

cv.destroyAllWindows()

運(yùn)行效果如下：

二值化自適應(yīng)閾值：181.0

識(shí)別結(jié)果：8A62N1

Process finished with exit code 0

實(shí)例3

import cv2 ascv

importpytesseract

from PIL importImage

def recognize_text(image):

??? # 邊緣保留濾波? 去噪

??? blur= cv.pyrMeanShiftFiltering(image, sp=8, sr=60)

??? cv.imshow('dst', blur)

??? # 灰度圖像

??? gray= cv.cvtColor(blur, cv.COLOR_BGR2GRAY)

??? # 二值化? 設(shè)置閾值? 自適應(yīng)閾值的話黃色的4會(huì)提取不出來

??? ret, binary = cv.threshold(gray, 185, 255, cv.THRESH_BINARY_INV)

??? print(f'二值化設(shè)置的閾值：{ret}')

??? cv.imshow('binary', binary)

??? # 邏輯運(yùn)算? 讓背景為白色? 字體為黑? 便于識(shí)別

??? cv.bitwise_not(binary, binary)

??? cv.imshow('bg_image', binary)

??? # 識(shí)別

??? test_message= Image.fromarray(binary)

??? text= pytesseract.image_to_string(test_message)

??? print(f'識(shí)別結(jié)果：{text}')

src = cv.imread(r'./test/045.jpg')

cv.imshow('input image', src)

recognize_text(src)

cv.waitKey(0)

cv.destroyAllWindows()

運(yùn)行效果如下：

二值化設(shè)置的閾值：185.0

識(shí)別結(jié)果：7364

Process finished with exit code 0

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