Human Iris Recognition for Biometric Identification
Neha Borse
, Prof.S.D.Sawant
Growing Algorithm, pre-processing, Gabor filters, Segmentation, Hough Transform, Biometrics, Iris identification, CASIA Iris database.
This paper introduces a new concept of optimal the security is an important aspect in our daily life whichever the system we consider security plays vital role. The biometric person identification technique based on the pattern of the human iris is well suited to be applied to access control and provides strong security. Security systems having realized the value of biometrics for two basic purposes: to verify or identify users. In this paper we focus on an efficient methodology for identification for iris detection, even when the images have obstructions, visual noise and different levels of illuminations and we use the CASIA iris which has images captured from distance while moving a person. Efficiency is acquired from iris detection and recognition when its performance evaluation is accurate
"Human Iris Recognition for Biometric Identification", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 6, page no.567 - 572, June-2017, Available :https://ijsdr.org/papers/IJSDR1706082.pdf
Volume 2
Issue 6,
June-2017
Pages : 567 - 572
Paper Reg. ID: IJSDR_170536
Published Paper Id: IJSDR1706082
Downloads: 000347230
Research Area: Engineering
Country: -, -, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
