IDscan Document Expert System
Project overview:
IDscan document expert system (IDES) is a software library used in most of IDscan products. The system can automatically recognise images of any government-issued document in the world such as identification cards and passports. The system can extract and label personal information printed on the document using state of the art OCR engine built by us. The system can also authenticate the document image using a set of UV, IR, MRZ, RFID chip related checks, it can tell whether the document is fake, and provide a measure of confidence related to the genuineness of documents.
IDES accepts images taken by any type of imaging device such as scanners, cameras, and mobile phones. Thanks to another engine called IDscan Document Extraction Engine also developed by us, IDES can locate and extract the document within any given image and process it.
IDES was built using C#, C++ programming languages, and advanced machine learning and image processing algorithms.
Project team
Zaher Joukhadar, Moneer Allito, Mohammad Heskol, Mohammad Sakher Sawan, Saleh Hananno, Ahmad Sabbagh, Muhammed Rida Katby, Muhammed Draow, Osama Makansi, Anas Khayata, Humam Helfawi, Hazem Abdullah, and Mustafa Jablawi
Technologies:
My role in the project:
I led the entire effort to build the system, I designed and developed the underlying machine learning and image processing algorithms. I developed the first prototype (proof of concept) of the system that led to establishing the Research Team in IDscan to pursue developing the sysetm.
Patents:
One patent has been published and several are in progress here is a link to the one that was published: – note IDscan did not include the names of any team members when they filed the patent-