Chandu Herath

Sachithra Dangalla, Chanaka Lakmal, Chamin Wickramarathna et al.

Personal identity documents play a major role in every citizen's life and the authorities responsible for validating them typically require human intervention to manually cross-check multiple documents belonging to an individual. The world is rapidly replacing physical documents with digital documents where every piece of data is stored digitally in a machine-readable and structured format. In this paper, we describe a technique to extract identity data from a structured data format and calculate a normalized correlation score for personal identity documents. Experimental results show that the proposed technique effectively calculates the correlation score for personal identity documents.

Chanaka Lakmal, Sachithra Dangalla, Chandu Herath et al.

The use of physical documents is inconvenient and inefficient in today's world, which motivates us to move towards the use of digital documents. Digital documents can solve many problems of inefficiency of data management but proving their authenticity and verifying them is still a problem. This paper presents a solution for this problem using text extraction, digital signatures and a correlation score for a set of documents. The paper discusses the impacts and advantages of the proposed technologies against other possible technologies that could serve the same purpose.