Extracting handwritten data from physical forms
Various tools have been developed to digitally analyse, visualise, and store data however not all data exists digitally. While there are many benefits to digital systems, there are many reasons while the progress into developing such systems is delayed especially in the African context. The longer an organization collects data without digitally storing it, the more data needs to be manually recorded into the digital system once implementation is possible. In order to assist in the transition, this project proposes a system to scan physical documents, with a focus on forms, into compiled digital datasets. This is done using Optical Character recognition.
Applied project submitted to the Department of Computer Science and Information Systems, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2022