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通常在 OCR 的过程中,图像文件本质上是被切割成段,每个字符都被识别为一个段。例如,未分段的文本作为图像

必须转换为类似的东西 文本已被分割并准备好进行 OCR 的图像

此外,是否有任何针对亚洲语言(如泰卢固语)的算法可用于此目的?如果没有,这对英语是怎么做的?

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1 回答 1

44

使用 OpenCV 可以轻松完成。下面是一个示例代码:

import cv2
import numpy as np

# Load the image
img = cv2.imread('sof.png')

# convert to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

# smooth the image to avoid noises
gray = cv2.medianBlur(gray,5)

# Apply adaptive threshold
thresh = cv2.adaptiveThreshold(gray,255,1,1,11,2)
thresh_color = cv2.cvtColor(thresh,cv2.COLOR_GRAY2BGR)

# apply some dilation and erosion to join the gaps
thresh = cv2.dilate(thresh,None,iterations = 3)
thresh = cv2.erode(thresh,None,iterations = 2)

# Find the contours
contours,hierarchy = cv2.findContours(thresh,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)

# For each contour, find the bounding rectangle and draw it
for cnt in contours:
    x,y,w,h = cv2.boundingRect(cnt)
    cv2.rectangle(img,(x,y),(x+w,y+h),(0,255,0),2)
    cv2.rectangle(thresh_color,(x,y),(x+w,y+h),(0,255,0),2)

# Finally show the image
cv2.imshow('img',img)
cv2.imshow('res',thresh_color)
cv2.waitKey(0)
cv2.destroyAllWindows()

输出将如下所示:

在此处输入图像描述在此处输入图像描述

于 2012-06-10T16:51:46.340 回答