python利用百度AI实现文字识别功能
本文为大家分享了python实现文字识别功能大全,供大家参考,具体内容如下
1.通用文字识别
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath = "test3.png" def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() # 定义参数变量 options = { 'detect_direction': 'true', 'language_type': 'CHN_ENG', } # 调用通用文字识别接口 result = aipOcr.basicGeneral(get_file_content(filePath), options) print(result) words_result=result['words_result'] for i in range(len(words_result)): print(words_result[i]['words'])
2.网络图片文字识别
识别一些网络上背景复杂,特殊字体的文字。
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath = "2-5.jpg" def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() options={} options["detect_direction"] = "true" #检测朝向 options["detect_language"] = "true" #检测语言 result= aipOcr.webImage(get_file_content(filePath),options) print(result) for i in range(len(result['words_result'])): print(result['words_result'][i]['words'])
3.身份证识别
身份证识别包括正面和背面。
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath1 = "2-6-2.jpg" #正面 filePath2 = "2-6-1.jpg" #背面 def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() options={} options["detect_direction"] = "true" #检测朝向 options["detect_risk"] = "true" #是否开启身份证风险类型(身份证复印件、临时身份证、身份证翻拍、修改过的身份证)功能,默认不开启 result1= aipOcr.idcard(get_file_content(filePath1),'front',options) result2= aipOcr.idcard(get_file_content(filePath2),'back',options) print(result1) print(result2) for key in result1['words_result'].keys(): print(key+':'+result1['words_result'][key]['words']) for key in result2['words_result'].keys(): print(key+':'+result2['words_result'][key]['words'])
4.银行卡识别
识别银行卡并返回卡号和发卡行。
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath = "2-7.jpeg" def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() options={} result=aipOcr.bankcard(get_file_content(filePath),options) print(result) #bank_card_type 银行卡类型,0:不能识别; 1: 借记卡; 2: 信用卡 for key in result['result']: print(key+':'+str(result['result'][key]))
5.驾驶证识别
对机动车驾驶证所有关键字段进行识别。
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath = "2-8.jpg" def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() options={} result=aipOcr.drivingLicense(get_file_content(filePath),options) print(result) for key in result['words_result']: print(key+':'+str(result['words_result'][key]['words']))
6.行驶证识别
对机动车行驶证正本所有关键字段进行识别。
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath = "2-9.jpg" def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() options={} result=aipOcr.vehicleLicense(get_file_content(filePath),options) print(result) for key in result['words_result']: print(key+':'+str(result['words_result'][key]['words']))
7.车牌识别
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath = "2-3.png" def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() options={} options["multi_detect"] = "true" #是否检测多张车牌,默认为false,当置为true的时候可以对一张图片内的多张车牌进行识别 result= aipOcr.licensePlate(get_file_content(filePath),options) for i in range(len(result['words_result'])): print(result['words_result'][i]['color']+' '+result['words_result'][i]['number'])
8.营业执照识别
识别营业执照,并返回关键字段的值,包括单位名称、法人、地址、有效期、证件编号、社会信用代码等。
# -*- coding: UTF-8 -*- from aip import AipOcr # 定义常量 APP_ID = '11352343' API_KEY = 'Nd5Z1NkGoLDvHwBnD2bFLpCE' SECRET_KEY = 'A9FsnnPj1Ys2Gof70SNgYo23hKOIK8Os' # 初始化AipFace对象 aipOcr = AipOcr(APP_ID, API_KEY, SECRET_KEY) # 读取图片 filePath = "2-10.jpg" def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() options={} result=aipOcr.businessLicense(get_file_content(filePath),options) print(result) for key in result['words_result']: print(key+':'+str(result['words_result'][key]['words']))
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持脚本之家。
相关文章
Django使用django-simple-captcha做验证码的实现示例
这篇文章主要介绍了Django使用django-simple-captcha做验证码,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友们下面随着小编来一起学习学习吧2021-01-01详解python使用递归、尾递归、循环三种方式实现斐波那契数列
本篇文章主要介绍了python使用递归、尾递归、循环三种方式实现斐波那契数列,非常具有实用价值,需要的朋友可以参考下2018-01-01Python cookbook(数据结构与算法)让字典保持有序的方法
这篇文章主要介绍了Python让字典保持有序的方法,涉及Python基于collections模块中的OrderedDict类实现控制字典顺序的相关操作技巧,需要的朋友可以参考下2018-02-02
最新评论