Text Recognition Images using OCR

Abstract

In the current environment, visualizing images from photos could be a critical procedure. The storing of data found in paper documents in digital format has exploded in recent years. This aids within the storage of information, is straightforward to store, and enables the retrieval of information when needed. Pre-processing, classification, extracting features, classification, and post-processing are the stages of text recognition. The front processing stage entails a spread of operations that are required to convert a color image into a dynamic image with text separated from the background. The separation stage aids in character separation. To help in word recognition, a feature called "Extract" allows you to extract the foremost relevant information from a picture. The classification process aids within the identification of text by using well-defined principles. The information is then subjected to post-processing so as to cut back mistakes. During a few operating systems, text recognition is critical. The text recognition module is discussed during this work, as are several applications of text visualization in photographs. This paper examines related activities.