Image recognition for visually impaired people by sound

Autor:	K. Gopala Krishnan, C. M. Porkodi, K. Kanimozhi
Rok vydání:	2013
Předmět:	geography geography.geographical_feature_category Visually impaired Computer science business.industry Speech recognition Novelty Speech processing Signal Edge detection Image (mathematics) Face (geometry) Computer vision Artificial intelligence business Sound (geography)
Zdroj:	2013 International Conference on Communication and Signal Processing.
DOI:	10.1109/iccsp.2013.6577195
Popis:	The aim of this paper is to represent a method where a blind person can get information about the shape of an image through speech signal. In this paper we proposed an algorithm for image recognition by speech sound. Blind people face a number of challenges when interacting with their environments because so much information is encoded visually. The proposed method enables the visually impaired people to see with the help of ears. The novelty of this paper is to convert the image to sound using the methodology of edge detection.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0e4270d901544b2ad1c89df738cfcd64 https://doi.org/10.1109/iccsp.2013.6577195 Zobrazit plný text záznamu