Title :
Image recognition for visually impaired people by sound
Author :
Krishnan, K.G. ; Porkodi, C.M. ; Kanimozhi, K.
Abstract :
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.
Keywords :
handicapped aids; image recognition; speech processing; blind person; edge detection; image recognition; speech signal; speech sound; visually impaired people; Ear; Educational institutions; Feature extraction; Image edge detection; Signal processing; Speech; Edge detection; Feature Extraction; Image classification; Sensory replacement; Sound generation;
Conference_Titel :
Communications and Signal Processing (ICCSP), 2013 International Conference on
Conference_Location :
Melmaruvathur
Print_ISBN :
978-1-4673-4865-2
DOI :
10.1109/iccsp.2013.6577195