Handwriting Recognition Using HAAR Transform
Kaki Leela Prasad, Pilaka Anusha · SSRN Electronic Journal · 2018
The objective of the paper is to receive intelligible handwritten input from paper documents and convert it into understandable format. Handwriting recognition involves the automatic conversion of text in a document into letter codes which are usable within computer and text-processing applications (Hanna et al., 1997). The information contained within these documents must first be extracted from the hard copy using optical scanner and then stored in a computerized format, which can be easily understood. The data obtained by this form is regarded as a static representation of handwriting (Read et al., 2002a). This technology is successfully used by businesses which process lots of handwritten documents, like insurance companies.