Methods of recognizing texts in different images

In recent years, the separation of text from docu-ment images has been one of the most studied topics in the field of image analysis and optical character recognition. These parts of document images can be used for document analysis, content analysis, document retrieval, and more. To separate documents from images, we used a very simple method based on the FAST algorithm. First, we divided the image into blocks and checked their density in each block. Large blocks were marked as text, and there was less image area or noise. We then check to see if the blocks are locked so that we can separate the piece of text from the image. This method is very fast and versatile and can be used to recognize different languages, handwriting, and even images with noise and blur. Thus, this method helps to more clearly and comprehensively identify text from document images.