Research Article
Prasad Satosh Padalkar · Lalit Prakash Patil
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.10 · Issue 7
Published
February 2022
Access
Open Access
Licence
CC BY-NC-SA 4.0
This study discusses the use of iris recognition for biometric identification in situations that demand a high level of security, such as prisons. The human iris database photographs are processed using an image processing approach. It determines the center coordinates as well as the radius of the iris. The iris image is also subjected to noise reduction. The collected features are used as inputs for the random forest classifier, which generates a class for the identification of the person. A hybrid approach to feature extraction is proposed in this study which uses a combination of Gabor wavelet and Harris Corner methods. The collected characteristics are classified using a random forest classifier. The simulation results are put to the test against publicly available data.
Prasad Satosh Padalkar, Lalit Prakash Patil (2022). Iris Recognition using Random Forest Classifier. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.10, Issue 7. ISSN: 2319-4863.
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