An Enhanced Transformation of Computer Handwriting Digital Format using Hybridized Deep Learning Approach

Abstract

: Computer handwriting is the ability of a computer to read and authenticate handwritten characters with a performance that is better than human handwriting. The computer is given a piece of handwriting to produce it into an electronic form. One major recurring problem has been the preserving and transferring of important knowledge due to the traditional method of handwriting. In this work, an enhanced computer handwriting system using Deep Learning Approach was developed. Waterfall process model was used in this approach to facilitate writing process and improve writing styles. The system was implemented with PHP programming Language and MySQL as database. This work could be beneficial to all stakeholders in the educational sector, to the banking industries, to accounting, to auditing sectors, to health sectors, to government parastatals and to agencies including any other organization that deals with computer handwriting for real-time data processing, bill processing, passport