Recognition, Classification for Normal, Contact and Cosmetic Iris Images using Deep Learning
Gino Sophia S.G.1, V.Ceronmani Sharmila2
1Gino Sophia S.G., Department of Computer Science and Engineering, Hindustan Institute of Technology and Science, Padur, Chennai, (Tamil Nadu), India.
2V.Ceronmani Sharmila, Department of Information Technology, Hindustan Institute of Technology and Science, Padur, Chennai, (Tamil Nadu), India.
Manuscript received on 13 August 2019. | Revised Manuscript received on 17 August 2019. | Manuscript published on 30 September 2019. | PP: 4334-4340 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5185098319/2019©BEIESP | DOI: 10.35940/ijrte.C5185.098319
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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: The identification of the human being using iris based on image processing technique was one of better and older approach in human identification. Then to make human identification process an intelligent one using intelligent algorithms using machine learning techniques to train input images, extract features and classify the features based on classification techniques. The recent technology is enhancing for iris recognition based on deep learning networks, in which deeply train the images with number of layers, so that necessary features are extracted and then classify it and measure various parameters.
Keywords: Deep Learning, Intelligent Algorithms, Feature Extraction, Classification
Scope of the Article: Classification