1Assoc. Prof., Department of ECE, Anurag Group of Institutions
2Asst. Prof., Department of ECE, Anurag Group of Institutions
3Assoc. Prof., Department of ECE, Guru Nanak Institutions Technical Campus
Online published on 27 June, 2017.
This paper is mainly designed to help blind persons to walk safely and confidently without human assistance. It is developed to assist the blind persons to identify an obstacle and recognize what it is. It mainly includes 3 libraries Open CV, Tesseract and Filter library. Camera acts as a main vision to detect the label image from the object. These frames which are continuously received from the camera are sent to the Opencv library to process the images so that features for each letter could be extracted from the library. Optical Character Recognition (OCR) is the engine of the Tesseract library. Image with the text is given as input to the tesseract engine. This engine is used to convert printed text into editable text. The recognized text is recorded in script file. Text to speech conversion is done using filter library and the printed text is converted into speech. Then the e-speak engine is employed to load this script file, it provides the audio output through earphones to the blind person.
Blindpersons, OCR, ARM, QT Embedded Frame Work and Raspberry