Keyword Spotting in Images Using Convolutional Neural Network
J Jagadeesan1, Mayank Khandelwal2, Rahul Kevadia3, Prayank Shah4, Sooryabhan Singh5
1Dr. J Jagadeean, Ph.D. Professor and Head, Department of Computer Science and Engineering, SRM IST, Chennai (Tamil Nadu), India.
2Mayank Khandelwal, B. Tech, Department of Computer Science and Engineering, SRM IST, Chennai (Tamil Nadu), India.
3Prayank Shah, B.Tech, Department of Computer Science and Engineering, SRM IST, Chennai (Tamil Nadu), India.
4Rahul Kevadia, B.Tech, Department of Computer Science and Engineering, SRM IST, Chennai (Tamil Nadu), India.
5Sooryabhan Singh, B.Tech, Department of Computer Science and Engineering, SRM IST, Chennai (Tamil Nadu), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1836-1840 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3450048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine vision is the new and faster way to train a machine to better understand the videos and images. Machine vision can also be used to detect the text in an image using various machine learning approaches. Machine vision and deep learning have been booming with a greater speed in past few years thus thus there is always a better solution or a problem every now and then. This is the main difference between the existing system and the proposed system as there has been many advancement in the deep learning field it gives a better and faster approach to deal with the real world problems. With this we can gather text and make the machine better understand it by the use of image manipulation and machine learning’s neural networks. Image manipulation includes thresholding, normalization, alignment and the neural network is used to extract the features and match it with the ones on which a machine is trained.
Keyword: Machine Vision, Machine Learning, Neural Network, Deep Learning.
Scope of the Article: Image Processing and Pattern Recognition