Object occlusion detection

Sometimes an object is partially hidden by a physical object like fingers, book etc. or by digitally pasted artifacts like blurringof an area. The intern will be working on detecting these types of digital and physical occlusions on an object.
At Jumio we encounter documents that are hidden or occluded by such masks. These documents need to be rejected or approved depending on the issuing country. The intern will help us develop a solution which can accurately detect any type of masks and helps us decide if we should approve or reject the masked document based on some decision rules. This project will directly contribute to our world-class product.

Faculty Supervisor:

Ioannis Mitliagkas

Student:

Partner:

Jumio

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Université de Montréal

Program: