Software Architecture for Better Text-Based Infromation Accessibility

The paper suggests a software architecture to improve the accessibility to information from texts. This software combines techniques like: image processing, optical character recognition, machine translation, text analyze and text to speech. The application uses a scanner or a Web cam as an image input device, recognizes the text by using OCR, enables text translation by using Googlepsilas machine translation implementation, interpret the text as a future development and reads the text by using TTS technology. In this way the user can put the text information source into a scanner or under a Web cam and can hear the text translated and interpreted, if required. A functional prototype is presented and conclusions are issued.