Character Detection: An Approach to Clarify the Texts Using Machine Learning

Text is a base for retrieving information on different topics in various fields. In the real-time environment, text is also the critical factor for improving clarity and recognition of the information being displayed. This paper discusses the state of the art OCR techniques developed for English language in the recent past and proposes a cognisant system to address the characteristics of the English script. Therefore, the proposed system targets at increasing the efficiency and accuracy of transcribing English text into editable form targeting its applications in text digital libraries, text analysis, and information retrieval systems. We present an ML-based self-optimizing model that can recognize English characters from a wide range of objects, videos, and images in real time. This model comes with 96% recognitive rates on both English alphabets and numerics Making it more useful in identifying characters found on these products. According to the findings of this study, this text processing strategy offer considerable support to people who experience difficulties in attending or recognizing characters, in interpreting and dealing with text information.