IRIS Recognition: A New Dataset Without Different Noise Levels and Occlusions
M. Roshini1, G. Vasanth2, G.V. Kodandaramaiah3, S.A.K. Jilani4

1M. Roshini, Research Scholar, Department of CSE, VTU, (Karnataka), India. 

2Dr. G. Vasanth, Professor, Department of CSE, Govt Engineering College, KRPET, (Karnataka), India. 

3G.V. Kodandaramaiah, Professor, Department of ECE, Kuppam Engineering College, (Andhra Pradesh), India. 

4Dr. S.A.K Jilani, Professor, Department of ECE, MITS, (Andhra Pradesh), India.

Manuscript received on 24 November 2019 | Revised Manuscript received on 12 December 2019 | Manuscript Published on 30 December 2019 | PP: 326-336 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10441292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1044.1292S319

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Abstract: Biometrics is the study about an old technology available for many years providing identification and authorization to humans based on their physiological or behavioral characteristics. Whatever may be the era either past or present a person has to prove his identity in all sectors for getting authentication or authorization. This paper focuses on the importance of Biometrics particularly in the recent bloom technology which is IRIS recognition. A clear description of the pros and cons of this technology are mentioned. The IRIS recognition is where a person is identified based on Iris, a unique pattern located between pupil and sclera. The success depends majorly on one of its important steps known as Segmentation. The methodology which is followed for verification and authentication is presented. The existing databases are mentioned that are used for Iris recognition. A new database is introduced with a BMP format gray-scale image for identifying a person. A new Database without different noise levels and occlusions are introduced for the authorization of a person.

Keywords: Iris, Pupil, Sclera, Segmentation, Databases.
Scope of the Article: Pattern Recognition