Image to Sound Conversion

Abstract

In this paper we are proposing a system to convert pictures into sound. This proposed system will identify the object from its picture and person will be able to listen to the name of the objects, in the picture. Here we will first get the image from a digital camera then by removing noise by Grey scale and after this Thresholding will be applied. In image processing, thresholding is used to split an image into smaller segments, or junks, using at least one color or grayscale value to define their boundary. After that Object recognizing can be done with Memory-Based Object Recognition Algorithm and object will be identified as Textual name and this name will be stored in the database. Then Optical Character Recognition will be applied to convert text into machine Text. This Text will be converted finally to sound.