OCR & Documents
🏆 #803 overall#124 of 313 in OCR & Documents
shouzhong /Scanner
二维码/条码识别、身份证识别、银行卡识别、车牌识别、图片文字识别、黄图识别、驾驶证（驾照）识别
$ git clone https://github.com/shouzhong/Scanner.gitStars
1.5K
1,477
Forks
370
370
Language
Java
License
None
Created
Sep 30, 2019
7.0 years old
Last push
Apr 7, 2022
Categories
More in OCR & Documents
OCR & Documents
OCR & Documents
robocorp/rpaframework
Collection of open-source libraries and tools for Robotic Process Automation (RPA), designed to be used with both Robot Framework and Python
🧠 Natural Language Processing
PythonApache-2.0updated Aug 29, 2026
OCR & Documents
18601949127/DiDiCallCar
这是我自己做的一个类似滴滴打车的Android出行项目，主要针对滴滴等出行平台一直饱受质疑的“人车不符”问题，以及当前越发火热的或计划和出海战略，给出行项目增加了下面几个功能： 1. RFID识别验证功能：在司机证件或者车内识别硬件嵌入RFID识别芯片，乘客使用手机读取到芯片信息，并且通过网络发送到出行平台数据库进行验证（我用JNI加了一个C语言的MD5加密算法对识别到的信息进行了加密）。如果不是合规的“人”或“车”，则不能完成订单并向平台或监管单位汇报当前位置。（为了方便读者测试，可以使用手机读取任何一个加密或非加密RFID芯片，比如银行卡、公交卡等，我在代码中的验证前阶段把芯片信息都换成我自己的司机信息，确保读者测试时可以收到服务器的回复） 2. 海外版功能：点击切换当前语言。 3. 司机证件号码识别功能：读取司机证件上的证件号码，也可以用来与出行平台数据库的接单司机信息进行。I complete this whole project on my own . Including Android application programming，web server ( Apache + PHP + MySQL), and UI. 1．Map route planing。You can use mobile phone choose pick up & destination address，application provide address name hint and draw optimized route for user , then call car for you. 2．RFID authentication function：User can use application to scan driver license or other RFID hardware, then use NDK MD5 algorithm encrypt RFID number, and send it to Web Server Database, check with driver information and authenticate ID number , if ID number coherent with driver info , send back driver information to User and continue call car order . record user location and alert if ID not coherent. 3．Driver License Number Recognition : Application can recognize driver license digit number ,and also can send to web server for authentication & feed back result to user.
Javano licenseupdated Oct 31, 2019
OCR & Documents
OCR & Documents
adaptech-cz/Tesseract4Android
Fork of tess-two rewritten from scratch to support latest version of Tesseract OCR.
CApache-2.0updated Feb 5, 2026
Data from GitHub · snapshot Sep 24, 2026