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Performance of Hasty and Consistent Multi Spectral Iris Segmentation using Deep Learning

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Performance of Hasty and Consistent Multi Spectral Iris Segmentation using Deep Learning


Ram Niwas Sharma | Ankit Kumar Navalakha | Neha Sharma



Ram Niwas Sharma | Ankit Kumar Navalakha | Neha Sharma "Performance of Hasty and Consistent Multi Spectral Iris Segmentation using Deep Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-5, October 2023, pp.11-15, URL: https://www.ijtsrd.com/papers/ijtsrd59853.pdf

The recognition system is composed of seven phases: acquisition, preprocessing, segmentation, normalization, feature extraction, feature selection, and classification. In the acquisition phase, iris images are captured, followed by preprocessing to enhance the quality of the images. The segmentation phase involves separating the iris region from the background, and the normalized iris region is shaped into a rectangle in the normalization phase. Iris segmentation is a critical step in iris recognition systems and has a direct impact on authentication and recognition results. However, standard segmentation techniques may not perform well in noisy iris databases captured under challenging conditions. Moreover, the lack of large iris databases hinders the performance improvement of convolution neural networks. The proposed method addresses these challenges by effectively handling irregular iris images captured under visible light. The iris region is processed and evaluated to generate a unique feature vector, which is then used for person identification. VGG16, a well-known deep learning model, is employed for image classification, and the feature vector is fed into VGG16 for classification purposes.

Deep Learning, Multi Spectral Iris, neural networks, VGG16


IJTSRD59853
Volume-7 | Issue-5, October 2023
11-15
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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