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International Journal of Scientific Development and Research - IJSDR
(An International Open Access Journal)
ISSN:
2455-2631


Issue: July 2021

Volume 6 | Issue 7

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Paper Title: To develop Asian and Non-Asian iris image optimum classifier using generalized feed forward network
Authors Name: Amol G. Gadpalliwar , Dr.Vijay L. Agrawal
Unique Id: IJSDR2106021
Published In: Volume 6 Issue 6, June-2021
Abstract: Analysis of iris pattern has been the focused of researches, mostly in biometric authentication. The researchers state that the iris contains unique patterns to each person and stable with age. Therefore, iris has been used as recognition of a person. Iris recognition is one of the most reliable methods for identification of individuals. However, there are many parameters which can attenuate the accuracy and reliability of iris recognition systems. The iris recognition system’s reliability can be challenged and the accuracy of biometrics recognition systems can be degraded due to the several different abnormalities in the pattern of iris tissue. The main purpose of is to find appearance primitives of iris images firstly, compact and yet discriminative visual features, we call them Iris-textons here, are automatically learned from a set of training images. Main purpose of this work images are classified into two ethnic categories, Asian and non-Asian human iris images. Classification of Asian and non-Asian iris images is an essential research topic as it may be advantageous in monitoring biometric authentication. Therefore the need for fast, automatic, less expensive and accurate method to classify Asian and non-Asian iris images is of great realistic significance.
Keywords: MatLab, Nuero Solution Software, Microsoft excel, Various Transform Techniques.
Cite Article: "To develop Asian and Non-Asian iris image optimum classifier using generalized feed forward network ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.6, Issue 6, page no.145 - 149, June-2021, Available :http://www.ijsdr.org/papers/IJSDR2106021.pdf
Downloads: 00025284
Publication Details: Published Paper ID: IJSDR2106021
Registration ID:193403
Published In: Volume 6 Issue 6, June-2021
DOI (Digital Object Identifier):
Page No: 145 - 149
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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