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Deep learning based symbol recognition for the visually impaired
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 Title & Authors
Deep learning based symbol recognition for the visually impaired
Park, Sangheon; Jeon, Taejae; Kim, Sanghyuk; Lee, Sangyoun; Kim, Juwan;
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 Abstract
Recently, a number of techniques to ensure the free walking for the visually impaired and transportation vulnerable have been studied. As a device for free walking, there are such as a smart cane and smart glasses to use the computer vision, ultrasonic sensor, acceleration sensor technology. In a typical technique, such as techniques for finds object and detect obstacles and walking area and recognizes the symbol information for notice environment information. In this paper, we studied recognization algorithm of the selected symbols that are required to visually impaired, with the deep learning algorithm. As a results, Use CNN(Convolutional Nueral Network) technique used in the field of deep-learning image processing, and analyzed by comparing through experimentation with various deep learning architectures.
 Keywords
Convolutional neural network;Deep learning;Deep neural network;Machine learning;Symbol recognization;
 Language
Korean
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