Notification System for Text Detection on Document Images Using Graphical User Interface (GUI)

Degraded images of documents typically contain several knowledge numbers. Therefore, a binarization technique must be used to extract it. Various reasons can lead document images to the degradation process, including document image quality of the inferior materials, environmental factors, and lack of interest in the handling of document images. Binarization is an image conversion process that consists of black and white pixels in pixels into a binary image. In this paper, starting process of an average red, green, and blue components of a pixel can be added to allow this transition to reach its grayscale value. Two parts of this proposed framework are primarily used in the MATLAB graphical user interface (GUI), respectively. The binarization technique for fuzzy C-Means and Deghost method amendments is used in the preliminary portion of the GUI for a document picture chosen by the purchaser. The binarization method involves IQA analysis (PSNR, accuracy, and F-measure for instance) to determine the feasibility of the methodology. In this section, the three IQA parameters will be explained in the GUI. The second part of the system offers a flexible mechanism for sending SMS over the telephone. Collectively, for the patron to accumulate the results of the photographic examination, there should be a warning framework on the cell phone. By using the GSM module coordinated with Arduino Uno, the word for the photographic examination will be sent to the phone.