A Comparative Study of Handwriting Recognition Techniques

A computer's capacity is to obtain and understand the intelligible, handwritten information from sources, such as paper files, images, touch screens and other appliances is a handwritten word recognition (HWR) also recognized as handwritten text recognition (HTR). This initiative seeks to rank a single written term, to allow a digital translation of handwritten text. Handwriting recognition has been an active field of studies for over four centuries, but some of the key issues have not yet been resolved. This survey paper focuses on discussing the issues related to handwriting recognition and offers alternatives to the significant issues of handwriting recognition by means of machine learning methods. Also, this helps to list and explain the different approaches in the field of handwriting recognition, such as off-line and on-line handwriting. The paper is intended to explain various ways to resolve the issue of handwriting recognition.