Sophisticated Data Entry Application using Matchmaking Algorithm through Scanned Images
Abstract
Due to the cost effectiveness and job overload in the field of data entry, the images are scanned by using front and back scanners from the paper. The images are processed using morphological image processing to reduce the noise and then intelligent character recognition method is needed to identify the handwriting and text which are written in the paper. Then the fields are identified as ontologies and the corresponding fields are matched using the ontology text matchmaking algorithm. Higher throughput is achieved by means of scanning and processing the text images. The job overload is reduced with providing machine learning algorithm.
Keywords
Morphological Image Processing, ICR, Ontology Text Matchmaking Algorithm.