python识别图片中的数字（使用OpenCV进行数字识别） _pythonOpenCV进行数字识别

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python OpenCV进行数字识别

python识别图片中的数字：我使用 OpenCV 框架编写了一个 python 脚本来检测信用卡或保险卡上的数字。
它是如何工作的？该代码仅作为两部分工作。第一部分的目的是用可能的图像训练脚本。培训完成后，您可以测试您的扫描图像（即信用卡或保险卡）。
python如何识别图片中的数字？样本识别输出在这里您可以看到成功识别数字的输出：

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要安装的框架

Python-2.7.x. numpy opencv

python识别图片中的数字：训练脚本的代码

#!/usr/bin/python # -*- coding: utf8 -*-################################################################# # File name: digit_recognizer_training.py# # Description: Train digits on an image and save them as files. # # Version: 0.0.1# # Author: G?khan Sari# # E-mail: g-sari@g-sari.com# #################################################################import sys import cv2 import numpy as np from picture import Picclass DigitRecognizerTraining: """Class used to train digits on an image"""def __init__(self): self.training_pics = [ Pic(), Pic(pic_name="ocr_insurance_card_train_2.jpg", contour_dimension_from_h=21, contour_dimension_to_h=28)]def train(self): """Method to train digits""" # Loop all images to train for training_pic in self.training_pics: im = cv2.imread(training_pic.pic_name) gray = cv2.cvtColor(im, cv2.COLOR_BGR2GRAY) blur = cv2.GaussianBlur(gray, (5, 5), 0) thresh = cv2.adaptiveThreshold(blur, 255, 1, 1, 11, 1) _, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) samples = np.empty((0, 100)) responses = [ ] keys = [ i for i in range(48, 58)]for cnt in contours: if cv2.contourArea(cnt) > (training_pic.contour_dimension_to_h * 2): [ x, y, w, h] = cv2.boundingRect(cnt) # print("contour:" w, h) if h > training_pic.contour_dimension_from_h and h < training_pic.contour_dimension_to_h: cv2.rectangle(im, (x - 1, y - 1), (x + 1 + w, y + 1 + h), (0, 0, 255), 1) roi = thresh[ y:y + h, x:x + w] roismall = cv2.resize(roi, (10, 10)) cv2.imshow('Training: Enter digits displayed in the red rectangle!', im) key = cv2.waitKey(0)if key == 27:# (escape to quit) self.save_data(samples, responses) cv2.destroyAllWindows() sys.exit() elif key in keys:# (append data) responses.append(int(chr(key))) sample = roismall.reshape((1, 100)) samples = np.append(samples, sample, 0) # Save collected data self.save_data(samples, responses)@staticmethod def save_data(samples, responses): """Method to save trained data""" responses = np.array(responses, np.float32) responses = responses.reshape((responses.size, 1)) np.savetxt('ocr_training.data', samples) np.savetxt('ocr_responses.data', responses) print "training complete"# Start the training process if __name__ == '__main__': DigitRecognizerTraining().train()

python如何识别图片中的数字：可以通过 Github 访问整个源代码：g-sari/pyautodigitspyautodigits - 一个 python 跨平台模块，用于识别图像上的数字github.com
python OpenCV进行数字识别：演示训练部分只需点击显示在红色矩形中的键盘键
如何训练？打开终端，转到文件夹并运行以下命令：