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Text and Object Recognition using Deep Learning for Visually Impaired People

the main aim of this paper is to aid the visually impaired people with object detection and text detection using deep learning. Object detection is done using a convolution neural network and text recognition is done by optical character recognition. The detected output is converted into speech using text to the speech synthesizer. Object detection comprises of two methods. One is object localization and the other is image classification. Image classification refers to the prediction of classes of different objects within an image. Object localization infers the location of objects using bounding boxes. R. Soniya | B. Mounica | A. Joshpin Shyamala | Mr. D. Balakumaran "Text and Object Recognition using Deep Learning for Visually Impaired People" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31508.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/31508/text-and-object-recognition-using-deep-learning-for-visually-impaired-people/r-soniya

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