python利用百度AI实现文字识别功能

时间:2021-05-22

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。

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