简易数字识别：路尼亚pvp验证码

简易数字识别：路尼亚pvp验证码

1. 做好二值化的数字模板，shape都是9*4
2. 对要识别图像转灰度图，二值化
3. 各自图像形态处理，去噪(此项目不需要)
4. findContours找轮廓
5. 分割数字(此项目不需要)
6. 把轮廓内图形resize成模板大小(也可以用卷积网络)
7. 遍历，matchTemplate，取最大值

import cv2 , numpy as npclass NumberPicTool:templatePadding=0threshold_=130numberPics = []def __init__(self):for i in range(10):pic=cv2.imread(r"./pic/numbers/{}.png".format(i),flags=0)self.numberPics.append(pic)def getCode(self,img_=None):img = cv2.cvtColor(img_, cv2.COLOR_BGR2GRAY)_, img = cv2.threshold(img, self.threshold_, 255, cv2.THRESH_BINARY)cnts, _ = cv2.findContours(img,cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)rects=[cv2.boundingRect(c) for c in cnts]rects=sorted(rects,key=lambda x:x[0])nums=[]for i,r in enumerate(rects):im=img[r[1]-platePadding:r[1]+r[3]&#platePadding,r[0]-platePadding:r[0]+r[2]&#platePadding]scores=[]for j,p in enumerate(self.numberPics):if im.shape[-1]==2:# img_ = size(img_, None, None, fx=2, fy=3)im&#size(im,(4,9),None,fx=None,fy=None)result=cv2.matchTemplate(im,p,cv2.TM_CCOEFF)scores.append(result)nums.append(str(np.argmax(scores)))return numsdef main():NumberPicTool().getCode()if __name__ == "__main__":main()