A Robust Embedded Based String Recognition for Visually Impaired People
Publisher: Association of Scientists, Developers and Faculties
Published: 2016
Place of publication: Chennai, India
Language: eng
ISBN-13: 9788192986654
Description: This paper presents the development of a camera-based assistive text reading framework to help blind persons read text labels and product packaging from hand-held objects in their daily lives.  Recent developments in computer vision, digital cameras, and portable computers make it feasible to assist these individuals by developing camera-based products that combine computer vision technology with other existing commercial products such optical character recognition (OCR) systems. To automatically extract the text regions from the object, we propose a artificial neural network algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Adaboost model. Text characters in the localized text regions are binarized for processing the algorithm and the text characters are recognized by off-the-shelf OCR (Optical Character Recognition) and other process involved . Now the binarized signals are converted to audible signal. The working principle is as follows first the respected image will be captured and then it is converted to binary signals. Now the image is diagnosed to find whether the text is present in the  image. Secondly, if the text is present, then the object of interest is detected. The respected text of the image is recognized and then converted to audible signals. Thus the recognized text codes are given as speech to the user.