Communication Technology for Users with Specific Learning Incapacities

An Important trouble in text popularity which includes handwritten or character photographs from the text are difficult to examine. The decoding of these texts has critical packages in many areas. Many procedures were proposed for fixing the text reputation or type problem. The principal objective is to transform the text statistics from PDF and decoding into digits in order that characters are diagnosed easily. The proposed i-novel algorithm again and again performs crossover on sections and parts of text records from an photo file to train the device. The important idea of this project is to recognize the textual content person and convert it into speech signal. The textual content contained in the page is first pre-processed. The preprocessing module prepares the text for popularity. Then the textual content is segmented to split the individual from each other. Segmentation is accompanied by means of extraction of letters and resizing them after which converted into speech. Our notion is powerful with admire to special font sizes, font colorations, languages and history complexities. The performance of the technique is verified with the aid of imparting promising experimental results for a hard and fast of photos taken.