This paper is published in Volume 4, Issue 1, 2019
Area
Machine Learning
Author
Adarsh Mittal
Co-authors
Srishti Chadha
Org/Univ
NVIDIA Graphics Private Limited, Bengaluru, Karnataka, India
Keywords
Convolution Neural Network, Machine learning, Tensor flow
Citations
IEEE
Adarsh Mittal, Srishti Chadha. Text reader using convolutional Neural Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Adarsh Mittal, Srishti Chadha (2019). Text reader using convolutional Neural Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARnD.com.
MLA
Adarsh Mittal, Srishti Chadha. "Text reader using convolutional Neural Networks." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2019). www.IJARnD.com.
Adarsh Mittal, Srishti Chadha. Text reader using convolutional Neural Networks, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARnD.com.
APA
Adarsh Mittal, Srishti Chadha (2019). Text reader using convolutional Neural Networks. International Journal of Advance Research, Ideas and Innovations in Technology, 4(1) www.IJARnD.com.
MLA
Adarsh Mittal, Srishti Chadha. "Text reader using convolutional Neural Networks." International Journal of Advance Research, Ideas and Innovations in Technology 4.1 (2019). www.IJARnD.com.
Abstract
Vision loss may be a drawback that affects individuals all around the world. As pcs have gotten higher at understanding pictures because of advances in computer vision, the idea of a virtual assistant for the blind that would scan text1, identify/spot objects2, or maybe describe an entire scene in natural language3 is turning into more and more realistic. In this project, I created an Associate in Nursing robot application capable of reading aloud Network, text (e.g. product labels, price tags, text on clothing). the appliance uses a classifier trained exploitation the MS-COCO4 and COCO-Text5 datasets to seem for text and uses Google Cloud Vision to extract the text.
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