Study about Performance Analysis of Image Enhancement Techniques for Optical Character Recognition (OCR)

Image enhancement is one crucial component of the image processing sector, which allows upgrading the image class to construct the consequential image further valuable than the original.

Digital image processing is an indispensable domain in the present era. Image enhancement is a crucial phase in image processing that aims to produce a more desirable effect than the original image.

The clarity of an image is influenced by various factors, including the capturing device, environmental conditions, and illumination.

Numerous image enhancement techniques have been developed to restore image information. Image enhancement methods offer a range of options for improving the quality of images. The choice of these methods is influenced by various factors such as image input, display instrument, and task requirements. It is renowned that image processing system is superior whenever the performance of the image enhancement routine is high. This study provides an overview of image enhancement perception and evaluates commonly used algorithms using MATLAB R2014a based on four assessment parameters. The edge adaptive hybrid filter was found to be superior. For future vocation one could discover an innovative image enrichment method, amendment in presenting techniques with healthier truth or suitable amalgamation of image augmentation schemes.