Information Extraction from National Identity Cards using Automation - Custom ID Card OCR
Technology is the scientific understanding that allows humans to develop, invent innovations and automated systems. The progresses in technology have made living simpler. Science and technology are inextricably linked; advancement in science leads to advancement in technology. Advancements in technology lead to technical products and devices that benefit humanity. One such advancement which greatly benefits humans is automation, automation reduces time and errors. Automation in information extraction and organization is of the utmost importance in today’s digital world. The tedious task performed by a human to receive, check and extract information from any identification card is time consuming and prone to human errors. Additionally the process arranging the extracted information into requires more time and effort. The solution to this is to design a reliable system using AI to automate the whole process. The developed approach will take images as input and provide information about customers in an organized document for ease of understanding and reduction of time. To cater my project for automation in Pakistan, I have focused my efforts on Computer National Identity Cards (CNIC). The information in CNIC are displayed in English and Urdu languages. So in my project I am working on identification and extraction of information in both English and Urdu language. I have successfully identified English and Urdu language texts in CNIC as well as English text recognition. Work is ongoing on Urdu text recognition. The project will be beneficial for institutes that handle large data set such as NADRA, FBR, Police and even universities can apply my project to extraction information from application forms. My project can be extended to extraction of information from any text based document.
Keywords: Automation, Information Extraction, Indigenous Solution
Tools: Digital Image Processing, Tesseract, Yolo, Google Colabs, Deep Learning
Department: Department of Electrical Engineering
Project Team Members
| Name |
Email |
|
Arooj Latif
|
arooj2018@namal.edu.pk |
Project Poster
