Bank Transaction using Iris Recognition System

Nithesh Kumar R.*, Rahul D.**, V. Dhanakoti***, Saran S.****
*-****Department of Computer Science and Engineering, SRM Valliammai Engineering College, Kanchipuram, Tamil Nadu, India.
Periodicity:July - September'2021
DOI : https://doi.org/10.26634/jip.8.3.18124

Abstract

This paper targets to develop a powerful algorithm for transacting money with high level security and high recognition rates in various environments. Haar Cascade algorithm has been applied for fast and easy face detection from the input image. The face image is then being converted into grayscale image. Finally the iris of the users are paired up and also the cost of each possible pairing is computed by a mixture of mathematical models. With human interaction, voice commands are used for transactions.

Keywords

Iris/Face, Recognition, Extraction, Transactions, Haar Cascade Algorithm.

How to Cite this Article?

Kumar, R. N., Rahul, D., Dhanakoti, V., and Saran, S. (2021). Bank Transaction using Iris Recognition System. i-manager's Journal on Image Processing, 8(3), 15-20. https://doi.org/10.26634/jip.8.3.18124

References

[4]. Boro, R., & Roy, S. D. (2004). Fast and robust projective matching for fingerprints using geometric hashing. In ICVGIP (pp. 681-688).
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