Interactive Image search and Retrieval using Artificial Neural Network

Human Computer Interaction is an immense field of computer studies to improve human interactions with machine with the influence of knowledge drawn from human and computers. An interactive method to search and retrieve images from databases through voice recognition system is proposed in this paper. Initially, the images are stored in the databases with voice samples and ensured that each image is associated with its own samples. These samples could of any keywords describing features of the image. During retrieval, the input sample is checked against with the samples stored in the database and corresponding image is displayed for view. ANN is applied for voice recognition to train the samples and to classify it. The experimental section of this paper shows the image retrieval using voice recognition in simplest manner with good accuracy.