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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 10, ISSUE 7, JULY 2021

Pin Authentication System Based on Real Time Eye Pupil Tracking

B S Balaji, Thejaswini KG, Vanishree SV, Supritha LR

DOI: 10.17148/IJARCCE.2021.10715

Abstract: Machine Learning (ML) is a field of artificial intelligence that uses statistical techniques to give computer systems the ability to "learn from data”, without being explicitly programmed. Machine learning explores the study and construction of algorithms that can learn from and make predictions on data – such algorithms overcome following strictly static program instructions by making data-driven predictions or decisions, through building a model from sample inputs.

Keywords: Machine Learning (ML), Personal Identification Numbers (PINs), Real Time Eye Pupil Tracking, Virtual Assistants.

How to Cite:

[1] B S Balaji, Thejaswini KG, Vanishree SV, Supritha LR, “Pin Authentication System Based on Real Time Eye Pupil Tracking,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2021.10715